Abstract
Video surveillance is an effective way to record current events. In view of the difficulty of efficient transmission of massive surveillance video and the risk of leakage in the transmission process, a new data encryption and fast transmission algorithm is proposed in this paper. From the perspective of events, the constraints of time and space dimension is broken. First, a background and moving object extraction model is built based on video composition. Then, a strong correlation data encryption and fast transmission model is constructed to achieve efficient data compression. Finally, a data mapping mechanism is established to realize the decoding of surveillance video. Our experimental results show that the compression ratio of the proposed algorithm is more than 60% under the premise of image confidentiality.
Highlights
Video surveillance system has a wide range of application value in many fields such as security defense, traffic management, and environmental detection
It is reported that the video surveillance data is limited by the size of storage space, and only the video data within a certain time range is saved
In order to realize the efficient storage of surveillance video, scholars put forward the theory of compressed sensing
Summary
Video surveillance system has a wide range of application value in many fields such as security defense, traffic management, and environmental detection. The content of surveillance video can be considered as a dynamic superposition of moving object and static background. The main algorithms for background establishment and moving object extraction are as follows: Li et al [22] use the difference between the foreground frame and the background frame to extract the moving object He et al [23] build an optical flow model based on the motion information. We carry out in-depth research on surveillance video data, analyze it from a new perspective of the minimum unit of object, establish a time and space constraint model to compress image data substantially, and establish the encryption mapping relationship between the compression and the original video to realize the safe and fast transmission of surveillance data
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