Dynamic synopsis and storage algorithm based on infrared surveillance video

Infrared surveillance video is difficult to watch quickly and store efficiently, a surveillance video synopsis and storage algorithm is proposed based on dynamic. On the basis of extracting moving targets, the constraints of time and space is broken to build an energy functional based on filling density to quickly display the video content on the premise of ensuring the monitoring video information. The Tube structure is formed by the moving target information, and the mapping relationship between the original video and the stored video is established. Image similarity from time and space dimensions is fully utilized to realize the storage of surveillance video. The space ratio between the stored information and the original video is less than 0.2.