[ Huaqiang Security Network News ] Intelligent video comes from computer vision technology, which establishes the relationship between image and image description, so that the computer can understand the content in the video picture through digital image processing and analysis, and automatically analyze and extract the video source. The purpose of the key information is Intelligent Video Analysis Technology (IVS). As a main technology for enhancing the application of video surveillance systems, intelligent video analysis technology has been widely concerned in the industry in recent years. Through the analysis of video content, the target of customer attention is separated from the monitoring background, according to the target. The parameters such as direction, speed, and time are associated with certain behavioral features to achieve active monitoring and defense. 
Analysis of main technical functions <br> From a technical point of view, at present, intelligent video analysis can be basically divided into the following types:
Tracking of the target movement trajectory: tracking the movement trajectory of the moving target in the monitoring area is the most basic application of target monitoring and the basis of other event monitoring. Targets can be classified according to the shape of the target, such as pedestrians, vehicles, and so on.
Target movement range monitoring: When the movement of a moving target with certain characteristics exceeds the set range, an alarm is generated, which is often referred to as cross-border detection and forbidden area detection alarm. It is one of the most widely used methods in event monitoring, and is particularly suitable for Such as military restricted areas, prisons, important material warehouses, museums, etc., where the intrusion needs to be protected. This technology is currently in the practical stage.
Target moving direction monitoring: alarms the moving targets that violate the set direction, and is applied to road monitoring, which can monitor and alarm the vehicles that violate the regulations. It can also be used for certain specific unidirectional personnel flow areas to monitor people moving in opposite directions in a defined direction.
Static object monitoring: After the sudden stop of the object is detected in the monitoring area, the target is automatically set and tracked. When the stay exceeds a certain period of time, the alarm is issued, mainly monitoring and alarming the tunnel monitoring and the illegal parking event in the no-parking area, or Monitor and alert dangerous remnants in public areas such as subways, stations, and terminals.
Special human behavior monitoring: When the human target stays in a certain area for a long time, when a certain area gathers to a certain density, or suddenly changes the human body's movements (such as abnormal running, fighting, etc.) It is suitable for urban security monitoring, bank gates, prisons, etc., and monitors and promptly warns of behaviors that may endanger the lives and property of others.
Monitoring of special vehicle behavior: When a sudden stop of the vehicle is found in a highway or city section, or an alarm is detected when a large cargo or car accident is detected in the vehicle. It mainly maximizes traffic management benefits and regulates traffic order by focusing on abnormal traffic events.
Quantitative statistics: Counting and counting the number of specific targets passing through a certain set area, which can count people and vehicles, can be applied to the statistics of people flow in museums, shopping malls, or statistics on vehicle traffic.
Face recognition: It belongs to a kind of bio-recognition. By analyzing the captured face image and comparing it with the existing face database, the identity of the person is determined and recognized according to a certain degree of similarity. It is mainly used in bank treasury, prisons, detention centers and other places, combined with RFID technology to improve safety.
Video image quality diagnosis: By monitoring the signal quality of each video image, judging the common camera faults such as video loss, snowflake, scrolling, blur, etc. of the video image and issuing an alarm, and automatically recording all the monitoring results, generating more A practical statistical report.
Tracking of the target movement trajectory: tracking the movement trajectory of the moving target in the monitoring area is the most basic application of target monitoring and the basis of other event monitoring. Targets can be classified according to the shape of the target, such as pedestrians, vehicles, and so on.
Target movement range monitoring: When the movement of a moving target with certain characteristics exceeds the set range, an alarm is generated, which is often referred to as cross-border detection and forbidden area detection alarm. It is one of the most widely used methods in event monitoring, and is particularly suitable for Such as military restricted areas, prisons, important material warehouses, museums, etc., where the intrusion needs to be protected. This technology is currently in the practical stage.
Target moving direction monitoring: alarms the moving targets that violate the set direction, and is applied to road monitoring, which can monitor and alarm the vehicles that violate the regulations. It can also be used for certain specific unidirectional personnel flow areas to monitor people moving in opposite directions in a defined direction.
Static object monitoring: After the sudden stop of the object is detected in the monitoring area, the target is automatically set and tracked. When the stay exceeds a certain period of time, the alarm is issued, mainly monitoring and alarming the tunnel monitoring and the illegal parking event in the no-parking area, or Monitor and alert dangerous remnants in public areas such as subways, stations, and terminals.
Special human behavior monitoring: When the human target stays in a certain area for a long time, when a certain area gathers to a certain density, or suddenly changes the human body's movements (such as abnormal running, fighting, etc.) It is suitable for urban security monitoring, bank gates, prisons, etc., and monitors and promptly warns of behaviors that may endanger the lives and property of others.
Monitoring of special vehicle behavior: When a sudden stop of the vehicle is found in a highway or city section, or an alarm is detected when a large cargo or car accident is detected in the vehicle. It mainly maximizes traffic management benefits and regulates traffic order by focusing on abnormal traffic events.
Quantitative statistics: Counting and counting the number of specific targets passing through a certain set area, which can count people and vehicles, can be applied to the statistics of people flow in museums, shopping malls, or statistics on vehicle traffic.
Face recognition: It belongs to a kind of bio-recognition. By analyzing the captured face image and comparing it with the existing face database, the identity of the person is determined and recognized according to a certain degree of similarity. It is mainly used in bank treasury, prisons, detention centers and other places, combined with RFID technology to improve safety.
Video image quality diagnosis: By monitoring the signal quality of each video image, judging the common camera faults such as video loss, snowflake, scrolling, blur, etc. of the video image and issuing an alarm, and automatically recording all the monitoring results, generating more A practical statistical report.
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