Intelligent video surveillance technology enables self-monitoring of monitoring entities and early warning. Intelligent video surveillance is the application of computer vision algorithms in video analysis. The current intelligent video surveillance system is divided into active intelligent monitoring system and distributed intelligent video monitoring system by structure class.
The early intelligent video surveillance system products appeared on the market, which really caused a commotion, and many special application scenarios and application environments can indeed bring great value to customers. For example, the flow statistics technology of shopping malls has brought huge technical support to the data analysis of shopping malls. For example, the license plate recognition technology, the value brought to the public security traffic management can not be measured by data. However, video analytics technology is not yet fully mature. It should be still in the initial stage of technology application. There are still many problems. These problems may also be the most important factors limiting the rapid development of intelligent video surveillance systems:
First, the accuracy of detection does not achieve the desired result. The accuracy of video analysis technology is basically not very satisfactory. Especially for real-time alarm applications, false positive rate and false negative rate are the most concerned issues for customers. If the false positives are too high, customers can't stand it. If you fail to report, customers will not be able to stand it. In particular, some applications with higher requirements, as long as there is leakage, the actual effect is not great.
Second, due to environmental interference. One of the biggest problems of video analysis technology is that it is too much interference from the environment and video quality. Light, debris, bad weather, sloshing, flying insects, etc. will make the application system very poor, even fail, and can not work normally. .
Third, the installation and debugging is complicated. Intelligent analysis applications almost all need to perform different parameter debugging for each application scenario, and involve a lot of professional parameter debugging. Non-professionals simply can't debug the ideal effect.
Future intelligent video surveillance system breakthrough:
Overall, the biggest factor limiting the application of intelligent video surveillance systems is the accuracy rate. Therefore, the development trend of intelligent video surveillance system application is definitely moving in the direction of improving accuracy. On the other hand, everyone will also look for some application directions that don't care about accuracy and pay more attention to efficiency. There should be several aspects of development:
First, increase the judgment information from the source. The promotion of the binocular camera should be a general direction. The binocular camera has two lenses, and the acquired video has the depth information of the target. Analysis algorithm calculation can follow up with these information, accurately determine the distance, depth, height and other information between objects, which can improve the accuracy of the overall algorithm.
Second, the research and application of various self-learning and adaptive algorithms. Subsequent intelligent analytics products should have powerful self-learning and adaptive capabilities. It can automatically learn and filter according to different complex environments, and can automatically filter some interference targets in the video. Thereby achieving the purpose of improving the accuracy and reducing the debugging complexity. For example, the development and deep application of anti-jitter algorithms, repeated moving object filtering, automatic filtering of small objects, automatic suppression of strong light, and three-dimensional modeling.
Third, the video data is deeply developed and applied rapidly. With the rapid development of video analysis technology, the amount of video data is also very large. How to make video analysis technology play a role in big data has become a direction of concern. Using a variety of different algorithm calculations, a large number of video data in different attributes of the object to retrieve, mark, identify and other applications, in order to achieve rapid search and retrieval of large amounts of data content. Greatly reduce labor costs and improve efficiency. Even in some ways, it is possible to do some tasks that cannot be done manually. Such as: large face database search, ID card library personnel search, video wearing a certain clothing, a certain color of vehicle search, license plate search, and even can be used to map and other applications (enter a picture to find and pictures Similar fragment).
Intelligent, digital and networked are the inevitable trends in the development of video surveillance. The emergence of intelligent video surveillance is the direct manifestation of this trend. Intelligent video surveillance equipment has more powerful image processing capabilities and intelligent factors than ordinary network video surveillance equipment, so it can provide users with more advanced video analysis functions, which can greatly improve the video surveillance system capabilities and make video Resources can play a bigger role. In order to promote the development of the intelligent video industry and achieve multi-win results, all the participants of the monitoring equipment hardware suppliers, intelligent video software suppliers, distributors and distributors and system integrators need to be reasonably organized so that they can fully Take advantage of each other to create a comprehensive solution that meets the needs of end users.
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