Mass information processing is the key to future development
Through years of construction, the video image monitoring system has become an important means for public security organs to fight against prevention and control and an important way to perceive city information. With the continuous development and growth of the construction of video surveillance systems, the analysis of a large amount of audio and video information requires a lot of manpower, material and time.
Massive video data needs to be effectively processed to enable fast, low-cost, and accurate discovery of relevant target features and activity trajectories. The contradiction between limited manpower, computing power, and continuously increasing video data has become increasingly prominent, becoming the focus and difficulty of current system construction. To this end, the industry has proposed video enrichment and retrieval technology, and video image information database technology in recent years.
Application value of video processing technology in security
Video enrichment and retrieval technology mainly uses image processing (including video enrichment, summarization, restoration, etc.), pattern recognition, massive data classification storage, and search technologies to analyze and mine the original information such as massive storage videos. For target features, The three main types of information content, target behavior and association between targets, form a variety of classified feature information databases, metadata and indexes, etc., and provide a unified interface for external applications to search, with a view to achieving rapid correlation and case through limited clues. Positioning.
The construction of video image information database is currently widely used in bayonet and electric police applications. Due to the maturity of license plate recognition technology, through the identification of license plate, license plate color, body, body color, vehicle type, etc., the combination of vehicle pictures, vehicle information, owner information, and theft of vehicle library, etc., can effectively search for vehicles , Deployment control and case clue search. However, how to form a unified interface for querying other information such as video surveillance videos and cases, and how to carry out effective data association, is not particularly widely used. To this end, many domestic scientific research units and intelligent product companies have conducted various explorations. Such as Tsinghua University, Institute of Automation, Chinese Academy of Sciences, Shanghai Jiaotong University, Zhejiang University, etc.
The construction of video image information database and the processing, analysis and retrieval of massive data are powerful means to improve efficiency. Through intelligent video analysis technology, it can condense massive video data, extract feature summaries, and reduce storage space. For example, one-hour video recording, video enrichment by means of feature values ​​can compress the recording to about 10 minutes. At the same time, the video image information database is different from the traditional relational database model. For structured, semi-structured and unstructured data, distributed storage of multiple copies of data can effectively save storage space. Backup makes the system architecture more stable and scalable, and provides a safe load balancing and fault tolerance mechanism.
The construction of the video image information database, in addition to reducing manpower and search time, can also be networked and controlled through the search interface, matching and pattern recognition of targeted feature pictures, and enhancing the function of early warning. At the same time, the application of these systems will promote the progress and promotion of security industry technology.
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