This paper introduces an emerging international high-definition satellite image-based intelligent video surveillance technology, also known as target-based intelligent video surveillance. It adopts high-definition satellite image as GIS interface, and integrates the intelligent video analysis result of the system-associated camera into the video monitoring interface based on high-definition satellite image, which can directly and objectively present the target information, thereby greatly improving the user experience.
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GIS video monitoring interface
Currently, mainstream video surveillance systems use a "well-word" approach that displays video images on a video wall or display. The advantage of this approach is that it is easy to implement, allowing users to see the most original video information directly. However, these video information is lack of globality, and the GIS video monitoring interface is a useful supplement to the traditional Chinese video surveillance system. The advantages of GIS-based video surveillance interface are mainly reflected in:
1. It is convenient for users to quickly understand the global security situation, judge the location of the police, and quickly formulate a response plan. Using the "well character" method to display the video image is like watching the leopard. Although many camera images are displayed, due to the camera position and observation angle, it is difficult for the user to quickly understand or judge the overall situation of the monitoring area. It is conceivable that when a police event occurs, the monitor needs to continuously identify the true orientation of the target according to the image, which increases the monitoring fatigue level and reduces the satisfaction of the monitoring personnel. The response is very passive. In fact, this is common in the video surveillance industry. problem.
In the GIS framework, local information can be effectively organized. It is not only a simple superposition of local information, it can help users to understand the global situation, such as the current trend of the monitored target, in order to make decisions more timely and effectively.
2, can naturally integrate with other non-video information to form a unified operating platform. In addition to video images, the GIS interface can easily integrate non-video sensor information such as GPS, access control, RFID, and fire protection. It is the most natural interface choice for multi-sensor information fusion.
3. New functions that can be implemented on the GIS interface:
New business function: Monitoring alarm for the vehicle to leave the specified motion track.
The new usage management method: quickly access and manage the monitoring points in the local area through the GIS interface, for example, using a mouse frame or a click area in a key part, automatically popping up the camera image of the area and the adjacent position. Quickly formulate alarm strategies on the GIS interface without having to set them one by one in each camera.
GIS monitoring interface for HD satellite imagery
The current mainstream video surveillance GIS interface uses an electronic map similar to Google Maps. As a carrier of video image information, the use of video HD satellite images is more natural, and can also produce more advanced applications.
At present, the combination of electronic map and intelligent video surveillance is mainly reflected in the fact that when the intelligent video surveillance is found to be abnormal, the corresponding monitoring area can express the alarm by flashing. However, this kind of trigger is not elaborate enough. It is a kind of “switching quantity†expression. It can not express the information such as the motion track of the target in the monitoring area, and naturally it cannot express advanced functions such as automatic tracking.
An electronic map can be understood as a simplified satellite image. But it is these simplified information that can be used to automatically establish a matching relationship between the satellite image and the surveillance image through mathematical methods, so that the target information found in the camera can be accurately labeled on the satellite image. come out. For example, the discovered target motion trajectory can be converted into a motion trajectory of the target on the satellite image, so that the motion target information can be uniformly presented on the satellite image.
Using HD satellite imagery as a background can enhance the realism of the system and make it easier for monitors to understand and accept. At the same time, since the satellite map is required to establish a matching relationship between the camera and the GIS, the use of the satellite image is not a icing on the cake, but is necessary.
Standards for measuring the pros and cons of monitoring systems
The security high level summarized by the US security community is "Situational Awareness", that is, situational awareness. This provides "actionable", actionable decision information. The value of a video surveillance system is mainly reflected in the ability to provide users with timely, effective and operational information for a period of time after the occurrence of a police event.
The camera is reasonably plentiful, the image is clear, the TV wall is spectacular, the intelligent analysis false positive rate is low, etc. These are the common requirements of the customer for the video surveillance system. But if these requirements cannot be translated into actionable decisions and emergency measures, a system that spends a lot of money may be an image project. Therefore, the "operability" of information is the fundamental standard for measuring the pros and cons of video surveillance systems.
Current video surveillance bottleneck
At present, the main application mode of the video surveillance system is "post-mortem investigation and evidence collection", which is to reinforce the disease rather than prevent it from happening. In the face of massive information, people hope that intelligent video analysis can effectively filter out most of the useless information and push useful information to users. Intelligent video analytics is a very promising direction, but there are still some problems. This article focuses on how to effectively present the results of intelligent video analysis to users, which is precisely a problem that the monitoring industry considers less.
The monitoring information is independent of each other. The existing mainstream intelligent video surveillance performs intelligent analysis on each image separately, and pushes the analysis result to the user. The camera resources are not coordinated and coordinated. The same moving target is reported as multiple independent video clips through multiple camera views. Since each camera has different alarm conditions, when an object triggers an alarm in the field of view of a camera and moves to the field of view of other cameras, it is likely to be regarded as a normal moving object. Therefore, the mainstream intelligent video surveillance system only triggers an alarm on one camera. Due to the short time, the monitor may have no time to react and lose the target.
Systems with multi-camera collaboration can keep track of the cross-region of the alert target. Thereby multiplying the monitoring time of the target. Greatly improve the accuracy and effectiveness of decision making. If the tracking time of the alerting target is used as the criterion for evaluating the value of a video surveillance system, the value of a system with multi-camera cooperative function is many times that of a general intelligent video surveillance system.
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