With the continuous intensification of the informationization construction of public security work, the work of public security is information first. Whoever first masters the use of various types of information will have the initiative to obtain work first. This article analyzes the status quo of the application of informatization in the current public security work, and explains how to use video recognition technology to improve the level of information construction of public security basic work.
The current state of application of informatization in public security work lacks long-term systematic information construction. Planning and information construction is not an overnight event, but it is a process of gradual accumulation and gradual improvement over a long period of time. If we want to do a good job of informatization, we must establish long-term and persistent combat. thought. The leadership of public security organs has been replaced several years ago. The degree of recognition and attention to information construction is not the same. If there is no long-term informationization construction plan to ensure the continuity of the relay operation of each leader, it is difficult to guarantee the construction of informationization. Lasting development.
Grass-roots leading cadres and civilian police lack adequate attention to information construction. For the public security work field, the application of technological transformation, including information technology, is an important way to achieve structural optimization and upgrading and improve overall quality. However, some leaders and comrades did not pay enough attention to this, thinking that the informatization work was dispensable. It was a soft task that was "important and important to do." It was not on the agenda, nor was it informationized. As an important means to improve management, improve work efficiency, and improve public security work. Only when the vast majority of grass-roots leaders and civilian police really attract high attention from ideology and action can we truly realize the application of information and can liberate the majority of civilian police from the traditional backward working model, improve work efficiency, and produce tremendous results. The political and economic benefits.
Accuracy and effectiveness of basic information acquisition Urgently needed to strengthen the current basic work information construction Many basic data are reported to the higher authorities through the lower levels. The grassroots units report various types of reports and data to higher authorities each year, most of which are Repeat and can be obtained through other channels. The data from the same period received by the higher authorities is different at different times. The one-way information collection method that such functional departments report to the down-and-through grass-roots units can easily make grass-roots cadres struggling to cope with the arduous basic work, and is light in weight and heavy in weight, resulting in dead ends and loopholes in information collection. More.
Various types of system resources have not been fully explored and utilized. Since there is no unified construction of an information platform, information resources of various departments of the public security organs cannot be fully utilized, nor can they provide timely, accurate and detailed reliable evidence for the decision-making of leaders. . The informationization of various departments at all levels is basically at the level of their respective applications. It has not reached the information sharing between various police departments and various types of information resources have not been fully tapped and the rational and effective comprehensive utilization has not yet been achieved. Providing scientific and timely services for the leaders' decision-making cannot provide front-line police with comprehensive information support for all-weather, all-around, and full-time processes.
How the information system can improve the predicament of basic public security work At present, in the application of the public security information system, it is still used by higher level decision-making and understanding of the situation. At the grass-roots level, there are many queries and applications, less analysis and application, more applications and less practical applications. There are many surface applications and few deep applications. The reason is not the technical issue, but the analysis of the needs is not done well. It does not engage in the blind investigation of the needs of the grassroots, and does not combine the actual needs of the "fancy", resulting in many jobs can not fit the basic work of the public security base.
Break through the bottleneck of informatization development, open up a new situation in public security management, build a platform for informatization construction, and implement a comprehensive utilization of information resources. Public security agencies must adhere to the principle of “take it at the grassroots level and use it at the grassroots level,†and use “for whom, whether it is convenient to use, The purpose of the actual effect is "good or bad", and with the aim of "solving the basic sources of information at the grassroots level, classification, and application", a basic work comprehensive information platform composed of three layers of information collection, integration, and application is built. The platform is the foundation. Only by properly using a good basic information platform can we achieve good results. Only comprehensive utilization can achieve the intended purpose.
Enrich the sources of information, strengthen the information construction to support public security information research and judgment. In information construction, information sources should be collected in two modes: self-acquisition and acquisition, which can greatly expand the sources of information and effectively relieve the grass-roots acquisition tasks. The so-called "self-adoption" means that the broad masses of civilian police have entered the information platform in the past on the "intelligence information", "pocket information", "paper information", "archive information" and daily practical operations. The so-called retrieval is the mining, integration, and utilization of professional systems, functional departments, and sharing of social resources through certain means and techniques. The technical information of the retrieved information has greatly enriched the content of the information platform, and ensured the integrity and authority of the underlying data, and finally achieved the results of the research and judgment.
The “performance appraisal†promotes the application of informatization to form an overall joint force for the full participation of the police and to give full play to the advantages of using information-based construction. The most fundamental thing is to adhere to the “people-oriented†working philosophy. Firmly establish advanced models, extensively carry out propaganda and education, and guide the police to deeply understand the important role of informatization construction; at the same time, it persists in establishing an information appraisal system to fully mobilize the grass-roots police to do a good job in the informatization construction of basic work, and to build the informatization of public security. Offer advice and suggestions.
The construction of information technology is highly professional, and the establishment of civilian police’s IT talents must be done without delay. One is to increase talents; the other is to strengthen the professional training of existing civilian police so that they have a certain technical foundation and are familiar with the public security business, but they should be provided with systems. Professional technical training to improve its technical level. The third is to establish a relatively fixed technical team. Utilize this technical team to gradually infiltrate all areas of project development. System planning, functional design, and promotion training should be guided by the public security's own technical force so that technical personnel can master core technologies and create conditions for independent development or self-revision. .
The status quo of intelligent video analysis and identification technology and public security information-based urban security video surveillance system The city security video surveillance system as an important content of the construction of safe cities, public security “science and technology police†and public information construction, has been the State Council, the Ministry of Public Security, Local governments and public security agencies at all levels have attached great importance to it. In a short span of years, it has built the world’s largest video surveillance system with the most extensive coverage, in order to quickly reverse the urban security situation, strengthen urban management, and improve public security agencies’ The fighting power, the creation of a harmonious and stable social environment, and the shaping of a good city shape have played a greater role. The current urban public security video surveillance system is in the latter part of the large-scale construction phase. Some systems have already been integrated and put into operation. Some are still under construction, and some have been expanded on the original basis. How to apply the system after it is built, and to bring its benefits into full play, has not received the attention it deserves. The current status of the current application is that only the monitoring centers at all levels take a look at the video of each monitoring point, and after the occurrence of the case, the criminal investigation department looks for clues to look through the video. This kind of low-level application is obviously not enough for tens of millions or even hundreds of millions of construction investment, or millions of rental expenses per year. At the same time, in large-scale video surveillance systems, due to the lack of intelligent analysis of video, it is impossible to record and warn public security incidents in real time; long-term observation of surveillance video also highlights the limitations of human fatigue; and massive video data is difficult to manage and effectively view. . Specifically, it is mainly reflected in the following aspects:
1. There is a lack of standardized methods for generating video information intelligence, and there is a lack of new policing work models that use video information intelligence to guide investigations and solve crimes. Now the application of video surveillance has been integrated into the daily handling of the police, but it still uses manual methods to browse and check, which is time-consuming and laborious.
2. The problem of cross-domain and cross-police sharing of video information and interoperability with other information systems is prominent. Cross-system language inconsistency has caused information to become isolated islands, limiting the construction and application of big intelligence and large information systems.
3, storage transmission problems, due to the need to save a lot of storage space and transmission bandwidth limitations, had to compress a lot of video data, not only caused the problem of image blur, but the fixed compression ratio of the video compression method is not flexible enough, had to occupy A lot of storage space and transmission bandwidth.
4. The problem of efficient calculation, because video surveillance requires the versatility and real-time nature of the calculation, while the particularity of video data brings the increase in computational cost, a unified video computing theory and framework for video surveillance needs to be constructed.
5. There is a lack of uniform standards and specifications for the policing application of video informationization and intelligence. The root of all these issues is the lack of understanding of video content, and there is no efficient, standardized method of video data exchange and video intelligence extraction. To solve these practical problems, we need to focus on the construction of a video surveillance system and the construction of a new video surveillance system with this technology as its core.
The application of video intelligent analysis technology in urban public security dynamic monitoring system Intelligent video analysis technology is a kind of pattern recognition technology. It designs certain computer algorithms to analyze, extract and identify the characteristics of individual sports behavior from video, and makes the computer Judging what behavior these individuals have performed, and then can determine whether these behaviors meet certain rules, whether they belong to "a certain type of behavior," and these types of behaviors are "suspicious behaviors" that should alert surveillance personnel. When the computer discovers these "suspicious behaviors", it can carry out immediate alarms, get rid of artificial interventions and judgments, and enable the computer to "replace" people for monitoring, that is, to achieve "automatic monitoring" or "smart monitoring." Explaining from a more visual point of view, the camera and video transmission technology in the surveillance system solves the “eyes†problem, enabling the monitoring personnel to see the scene through the camera without being on site, and this scene still exists. As the progress of transmission technology is freed from geographical restrictions, it can even be thousands of miles away (transmitting video over digital networks); and intelligent video analytics monitoring technology adds a “brain†to the monitoring system so that machines can replace people (at least To some extent, to monitor these videos at any time, it is no longer necessary to manually monitor these videos.
The general category of intelligent video analysis technology is broadly speaking. In addition to the above description being characterized as intelligent video analysis, we can also categorize the intelligent video analysis as all the computing functions to classify, compare or identify video images. effect. On the other hand, it can analyze the picture, optimize some of the picture quality, and provide better picture quality for the monitor to watch. Including: video analysis, video recognition, video improvement.
The main function of the video analysis class is to find objects in the monitor screen and detect the motion feature attributes of the object, such as the position of the pixel relative to the object, the moving direction of the object and the relative pixel moving speed, the shape of the object itself in the screen and It changed. According to the above basic functions, video analysis can be divided into the following functional modules:
(a) Perimeter intrusion detection, object movement direction detection;
(b) Object movement, stop status change detection;
(c) Detection of the appearance and disappearance of objects;
(d) Traffic statistics include (statistics of traffic flow and traffic volume);
(e) PTZ automatic tracking system;
(f) Camera intelligent self-test function.
Video recognition video recognition includes face recognition and license plate recognition. The main technique is to find the commonness of some pictures in the video in the video. For example, a person's face must have two eyes. If we can find a dual purpose location, we can determine the location and size of the person's face. However, with the existing technology, face recognition systems must be able to perform face comparisons when binoculars are visible. Its main include:
(a) Face recognition systems;
(b) License Plate Recognition System;
(c) photo comparison system;
(d) Machine vision systems in industrial automation.
The main function of the video improvement video improvement is to increase the monitorable performance of the video by performing some optimization processing on the previously invisible, obscure or vibrating pictures. Specifically include:
(a) night vision image enhancement processing;
(b) Image stabilization system;
(c) License Plate Recognition Image Enhancement System.
The application of intelligent video in the public security organs has occurred due to the frequent occurrence of terrorist attacks at home and abroad in recent years, and the use of weapons for terrorist attacks has continued to advance, resulting in rising casualties of public security and innocent civilians, and the counter-terrorism situation is severe, resulting in public security There is a pressing need for smart video systems or functional applications for security prevention.
Perimeter intrusion detection, object movement direction detection Perimeter intrusion detection is the principle of intelligent video analysis using moving targets. Within the range of scenes monitored by the camera, an alert area is set according to monitoring needs and purposes. The system can automatically detect the movement target and its behavior invading into the warning zone. Once it is found that the preset warning conditions are met, it will automatically generate alarm information and use the alarm box to mark the target that enters the warning zone and identify its movement trajectory. In addition, we can also use perimeter protection against intrusion detection systems instead of infrared radiation or geomagnetic coils. Its main function is to be applied to the edge of the wall to prevent unrelated persons from illegally entering the warning area. It can also replace the original motion detection system, reduce the overall system false alarm rate, increase the system's credibility. Especially in urban security projects, due to the excessive number of cameras, only electronic means can be used to reduce the system's demand for monitoring personnel.
The appearance and disappearance of objects The analysis of the presence or absence of an item from the video is a very meaningful intelligent video analysis function. Item disappearance detection is achieved using a region detection contrast algorithm. The basic principle is to extract the area from the fixed camera image to save, and the item state analysis server can set a certain time period according to the algorithm and compare the image data with the original data in these areas. The specific method is: The system divides an area into multiple areas according to an algorithm. Since the video stream is continuous in real time, the detection and segmentation of the area needs to be calculated continuously within each frame, and the area between frames is also required. Tracking and linking different time zones gives the correct item type, status, and direction of movement of the item. When the set time is exceeded, the system will alarm the disappeared or moved items when the status of the regional items changes.
PTZ automatic tracking is within the scene range monitored by the camera. When the moving target appears, the user can manually lock (for example, the target is locked by a mouse click) or the preset position automatically triggers the locking of a moving target, which can trigger the PTZ camera to perform autonomous automatic. PTZ tracking, and PTZ camera can automatically control the pan tilt for full rotation. At the same time, the function can also perform a visually guided automatic tracking of the locked moving target to ensure that the tracking target continues to appear in the center of the lens. The automatic PTZ tracking module makes up for the shortcomings of the narrow vision of the fixed camera surveillance and is an essential function of a perfect security monitoring system.
The function implementation process is: the main camera captures the image in the panoramic range of the video surveillance area and passes the captured image to the video server for processing: the video server processes the image data to extract the target location information, and schedules each slave camera; The camera locks and tracks the target according to the position information of the target, and automatically zooms the lens to obtain a clear image of the target. In this way, the system can perform comprehensive tracking of the monitoring area and can automatically lock the target entering the monitoring area. Tracking, and the corresponding speed and accuracy.
Face capture, comparisons and photographs There are some obvious deficiencies in traditional video surveillance systems, such as: 24 hours of continuous work, too many scenes and cameras. Surveillance work is originally a non-targeted thing. When it is necessary to call a video, it is a very tedious task for the monitoring staff to query all the previous videos. Face detection/capturing technology can accurately detect and capture human faces within a large background of complex camera surveillance scenes, and store real-time stored face photos or videos as useful signals, and then cooperate with face analysis. Compare database data, this way, the system can automatically call up the person's information in a short time. The system then performs automatic face matching or photo matching based on the results of face capture.
Insufficient application of intelligent video We have to admit that the current smart video system is only in its infancy and there are some shortcomings, such as:
(1) The scene environment requires high requirements, and often requires different parameter settings according to different environments and different requirements;
(2) It requires professional guidance to install it for smooth implementation. Only professionals who are familiar with the technology can judge and analyze the on-site environment based on experience, and then guide the installation and use.
(3) Users do not understand how to use and operate. Because users generally have limited knowledge of intelligent video systems, users do not understand the application and operation of this technology and require a long time of guidance.
The current state of application of informatization in public security work lacks long-term systematic information construction. Planning and information construction is not an overnight event, but it is a process of gradual accumulation and gradual improvement over a long period of time. If we want to do a good job of informatization, we must establish long-term and persistent combat. thought. The leadership of public security organs has been replaced several years ago. The degree of recognition and attention to information construction is not the same. If there is no long-term informationization construction plan to ensure the continuity of the relay operation of each leader, it is difficult to guarantee the construction of informationization. Lasting development.
Grass-roots leading cadres and civilian police lack adequate attention to information construction. For the public security work field, the application of technological transformation, including information technology, is an important way to achieve structural optimization and upgrading and improve overall quality. However, some leaders and comrades did not pay enough attention to this, thinking that the informatization work was dispensable. It was a soft task that was "important and important to do." It was not on the agenda, nor was it informationized. As an important means to improve management, improve work efficiency, and improve public security work. Only when the vast majority of grass-roots leaders and civilian police really attract high attention from ideology and action can we truly realize the application of information and can liberate the majority of civilian police from the traditional backward working model, improve work efficiency, and produce tremendous results. The political and economic benefits.
Accuracy and effectiveness of basic information acquisition Urgently needed to strengthen the current basic work information construction Many basic data are reported to the higher authorities through the lower levels. The grassroots units report various types of reports and data to higher authorities each year, most of which are Repeat and can be obtained through other channels. The data from the same period received by the higher authorities is different at different times. The one-way information collection method that such functional departments report to the down-and-through grass-roots units can easily make grass-roots cadres struggling to cope with the arduous basic work, and is light in weight and heavy in weight, resulting in dead ends and loopholes in information collection. More.
Various types of system resources have not been fully explored and utilized. Since there is no unified construction of an information platform, information resources of various departments of the public security organs cannot be fully utilized, nor can they provide timely, accurate and detailed reliable evidence for the decision-making of leaders. . The informationization of various departments at all levels is basically at the level of their respective applications. It has not reached the information sharing between various police departments and various types of information resources have not been fully tapped and the rational and effective comprehensive utilization has not yet been achieved. Providing scientific and timely services for the leaders' decision-making cannot provide front-line police with comprehensive information support for all-weather, all-around, and full-time processes.
How the information system can improve the predicament of basic public security work At present, in the application of the public security information system, it is still used by higher level decision-making and understanding of the situation. At the grass-roots level, there are many queries and applications, less analysis and application, more applications and less practical applications. There are many surface applications and few deep applications. The reason is not the technical issue, but the analysis of the needs is not done well. It does not engage in the blind investigation of the needs of the grassroots, and does not combine the actual needs of the "fancy", resulting in many jobs can not fit the basic work of the public security base.
Break through the bottleneck of informatization development, open up a new situation in public security management, build a platform for informatization construction, and implement a comprehensive utilization of information resources. Public security agencies must adhere to the principle of “take it at the grassroots level and use it at the grassroots level,†and use “for whom, whether it is convenient to use, The purpose of the actual effect is "good or bad", and with the aim of "solving the basic sources of information at the grassroots level, classification, and application", a basic work comprehensive information platform composed of three layers of information collection, integration, and application is built. The platform is the foundation. Only by properly using a good basic information platform can we achieve good results. Only comprehensive utilization can achieve the intended purpose.
Enrich the sources of information, strengthen the information construction to support public security information research and judgment. In information construction, information sources should be collected in two modes: self-acquisition and acquisition, which can greatly expand the sources of information and effectively relieve the grass-roots acquisition tasks. The so-called "self-adoption" means that the broad masses of civilian police have entered the information platform in the past on the "intelligence information", "pocket information", "paper information", "archive information" and daily practical operations. The so-called retrieval is the mining, integration, and utilization of professional systems, functional departments, and sharing of social resources through certain means and techniques. The technical information of the retrieved information has greatly enriched the content of the information platform, and ensured the integrity and authority of the underlying data, and finally achieved the results of the research and judgment.
The “performance appraisal†promotes the application of informatization to form an overall joint force for the full participation of the police and to give full play to the advantages of using information-based construction. The most fundamental thing is to adhere to the “people-oriented†working philosophy. Firmly establish advanced models, extensively carry out propaganda and education, and guide the police to deeply understand the important role of informatization construction; at the same time, it persists in establishing an information appraisal system to fully mobilize the grass-roots police to do a good job in the informatization construction of basic work, and to build the informatization of public security. Offer advice and suggestions.
The construction of information technology is highly professional, and the establishment of civilian police’s IT talents must be done without delay. One is to increase talents; the other is to strengthen the professional training of existing civilian police so that they have a certain technical foundation and are familiar with the public security business, but they should be provided with systems. Professional technical training to improve its technical level. The third is to establish a relatively fixed technical team. Utilize this technical team to gradually infiltrate all areas of project development. System planning, functional design, and promotion training should be guided by the public security's own technical force so that technical personnel can master core technologies and create conditions for independent development or self-revision. .
The status quo of intelligent video analysis and identification technology and public security information-based urban security video surveillance system The city security video surveillance system as an important content of the construction of safe cities, public security “science and technology police†and public information construction, has been the State Council, the Ministry of Public Security, Local governments and public security agencies at all levels have attached great importance to it. In a short span of years, it has built the world’s largest video surveillance system with the most extensive coverage, in order to quickly reverse the urban security situation, strengthen urban management, and improve public security agencies’ The fighting power, the creation of a harmonious and stable social environment, and the shaping of a good city shape have played a greater role. The current urban public security video surveillance system is in the latter part of the large-scale construction phase. Some systems have already been integrated and put into operation. Some are still under construction, and some have been expanded on the original basis. How to apply the system after it is built, and to bring its benefits into full play, has not received the attention it deserves. The current status of the current application is that only the monitoring centers at all levels take a look at the video of each monitoring point, and after the occurrence of the case, the criminal investigation department looks for clues to look through the video. This kind of low-level application is obviously not enough for tens of millions or even hundreds of millions of construction investment, or millions of rental expenses per year. At the same time, in large-scale video surveillance systems, due to the lack of intelligent analysis of video, it is impossible to record and warn public security incidents in real time; long-term observation of surveillance video also highlights the limitations of human fatigue; and massive video data is difficult to manage and effectively view. . Specifically, it is mainly reflected in the following aspects:
1. There is a lack of standardized methods for generating video information intelligence, and there is a lack of new policing work models that use video information intelligence to guide investigations and solve crimes. Now the application of video surveillance has been integrated into the daily handling of the police, but it still uses manual methods to browse and check, which is time-consuming and laborious.
2. The problem of cross-domain and cross-police sharing of video information and interoperability with other information systems is prominent. Cross-system language inconsistency has caused information to become isolated islands, limiting the construction and application of big intelligence and large information systems.
3, storage transmission problems, due to the need to save a lot of storage space and transmission bandwidth limitations, had to compress a lot of video data, not only caused the problem of image blur, but the fixed compression ratio of the video compression method is not flexible enough, had to occupy A lot of storage space and transmission bandwidth.
4. The problem of efficient calculation, because video surveillance requires the versatility and real-time nature of the calculation, while the particularity of video data brings the increase in computational cost, a unified video computing theory and framework for video surveillance needs to be constructed.
5. There is a lack of uniform standards and specifications for the policing application of video informationization and intelligence. The root of all these issues is the lack of understanding of video content, and there is no efficient, standardized method of video data exchange and video intelligence extraction. To solve these practical problems, we need to focus on the construction of a video surveillance system and the construction of a new video surveillance system with this technology as its core.
The application of video intelligent analysis technology in urban public security dynamic monitoring system Intelligent video analysis technology is a kind of pattern recognition technology. It designs certain computer algorithms to analyze, extract and identify the characteristics of individual sports behavior from video, and makes the computer Judging what behavior these individuals have performed, and then can determine whether these behaviors meet certain rules, whether they belong to "a certain type of behavior," and these types of behaviors are "suspicious behaviors" that should alert surveillance personnel. When the computer discovers these "suspicious behaviors", it can carry out immediate alarms, get rid of artificial interventions and judgments, and enable the computer to "replace" people for monitoring, that is, to achieve "automatic monitoring" or "smart monitoring." Explaining from a more visual point of view, the camera and video transmission technology in the surveillance system solves the “eyes†problem, enabling the monitoring personnel to see the scene through the camera without being on site, and this scene still exists. As the progress of transmission technology is freed from geographical restrictions, it can even be thousands of miles away (transmitting video over digital networks); and intelligent video analytics monitoring technology adds a “brain†to the monitoring system so that machines can replace people (at least To some extent, to monitor these videos at any time, it is no longer necessary to manually monitor these videos.
The general category of intelligent video analysis technology is broadly speaking. In addition to the above description being characterized as intelligent video analysis, we can also categorize the intelligent video analysis as all the computing functions to classify, compare or identify video images. effect. On the other hand, it can analyze the picture, optimize some of the picture quality, and provide better picture quality for the monitor to watch. Including: video analysis, video recognition, video improvement.
The main function of the video analysis class is to find objects in the monitor screen and detect the motion feature attributes of the object, such as the position of the pixel relative to the object, the moving direction of the object and the relative pixel moving speed, the shape of the object itself in the screen and It changed. According to the above basic functions, video analysis can be divided into the following functional modules:
(a) Perimeter intrusion detection, object movement direction detection;
(b) Object movement, stop status change detection;
(c) Detection of the appearance and disappearance of objects;
(d) Traffic statistics include (statistics of traffic flow and traffic volume);
(e) PTZ automatic tracking system;
(f) Camera intelligent self-test function.
Video recognition video recognition includes face recognition and license plate recognition. The main technique is to find the commonness of some pictures in the video in the video. For example, a person's face must have two eyes. If we can find a dual purpose location, we can determine the location and size of the person's face. However, with the existing technology, face recognition systems must be able to perform face comparisons when binoculars are visible. Its main include:
(a) Face recognition systems;
(b) License Plate Recognition System;
(c) photo comparison system;
(d) Machine vision systems in industrial automation.
The main function of the video improvement video improvement is to increase the monitorable performance of the video by performing some optimization processing on the previously invisible, obscure or vibrating pictures. Specifically include:
(a) night vision image enhancement processing;
(b) Image stabilization system;
(c) License Plate Recognition Image Enhancement System.
The application of intelligent video in the public security organs has occurred due to the frequent occurrence of terrorist attacks at home and abroad in recent years, and the use of weapons for terrorist attacks has continued to advance, resulting in rising casualties of public security and innocent civilians, and the counter-terrorism situation is severe, resulting in public security There is a pressing need for smart video systems or functional applications for security prevention.
Perimeter intrusion detection, object movement direction detection Perimeter intrusion detection is the principle of intelligent video analysis using moving targets. Within the range of scenes monitored by the camera, an alert area is set according to monitoring needs and purposes. The system can automatically detect the movement target and its behavior invading into the warning zone. Once it is found that the preset warning conditions are met, it will automatically generate alarm information and use the alarm box to mark the target that enters the warning zone and identify its movement trajectory. In addition, we can also use perimeter protection against intrusion detection systems instead of infrared radiation or geomagnetic coils. Its main function is to be applied to the edge of the wall to prevent unrelated persons from illegally entering the warning area. It can also replace the original motion detection system, reduce the overall system false alarm rate, increase the system's credibility. Especially in urban security projects, due to the excessive number of cameras, only electronic means can be used to reduce the system's demand for monitoring personnel.
The appearance and disappearance of objects The analysis of the presence or absence of an item from the video is a very meaningful intelligent video analysis function. Item disappearance detection is achieved using a region detection contrast algorithm. The basic principle is to extract the area from the fixed camera image to save, and the item state analysis server can set a certain time period according to the algorithm and compare the image data with the original data in these areas. The specific method is: The system divides an area into multiple areas according to an algorithm. Since the video stream is continuous in real time, the detection and segmentation of the area needs to be calculated continuously within each frame, and the area between frames is also required. Tracking and linking different time zones gives the correct item type, status, and direction of movement of the item. When the set time is exceeded, the system will alarm the disappeared or moved items when the status of the regional items changes.
PTZ automatic tracking is within the scene range monitored by the camera. When the moving target appears, the user can manually lock (for example, the target is locked by a mouse click) or the preset position automatically triggers the locking of a moving target, which can trigger the PTZ camera to perform autonomous automatic. PTZ tracking, and PTZ camera can automatically control the pan tilt for full rotation. At the same time, the function can also perform a visually guided automatic tracking of the locked moving target to ensure that the tracking target continues to appear in the center of the lens. The automatic PTZ tracking module makes up for the shortcomings of the narrow vision of the fixed camera surveillance and is an essential function of a perfect security monitoring system.
The function implementation process is: the main camera captures the image in the panoramic range of the video surveillance area and passes the captured image to the video server for processing: the video server processes the image data to extract the target location information, and schedules each slave camera; The camera locks and tracks the target according to the position information of the target, and automatically zooms the lens to obtain a clear image of the target. In this way, the system can perform comprehensive tracking of the monitoring area and can automatically lock the target entering the monitoring area. Tracking, and the corresponding speed and accuracy.
Face capture, comparisons and photographs There are some obvious deficiencies in traditional video surveillance systems, such as: 24 hours of continuous work, too many scenes and cameras. Surveillance work is originally a non-targeted thing. When it is necessary to call a video, it is a very tedious task for the monitoring staff to query all the previous videos. Face detection/capturing technology can accurately detect and capture human faces within a large background of complex camera surveillance scenes, and store real-time stored face photos or videos as useful signals, and then cooperate with face analysis. Compare database data, this way, the system can automatically call up the person's information in a short time. The system then performs automatic face matching or photo matching based on the results of face capture.
Insufficient application of intelligent video We have to admit that the current smart video system is only in its infancy and there are some shortcomings, such as:
(1) The scene environment requires high requirements, and often requires different parameter settings according to different environments and different requirements;
(2) It requires professional guidance to install it for smooth implementation. Only professionals who are familiar with the technology can judge and analyze the on-site environment based on experience, and then guide the installation and use.
(3) Users do not understand how to use and operate. Because users generally have limited knowledge of intelligent video systems, users do not understand the application and operation of this technology and require a long time of guidance.
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