A new algorithm for background extraction under video surveillance

Abstract

Path motion object detection based on video is a fundamental part of intelligent transportation systems, In the aspect of background extraction, this paper compared all existing theories and algorithms, aimed at specific objects (city expressways or high-speed Road), and combined with the virtual loop set method. This paper proposed an extraction and updating algorithm based on the sub-segmentations of invariant background, which greatly increased the time efficiency of the background extraction. It achieved great results of accuracy and real-time of this algorithm under background extraction.