BACKGROUND EXTRACTION FROM VIDEO SEQUENCES VIA MOTION-ASSISTED MATRIX COMPLETION

Background extraction from video sequences is a useful and important technique in video surveillance. This paper pro-poses a motion-assisted matrix completion model for back-ground extraction from video sequences. A binary motion map is first calculated for each frame by optical flow. By excluding areas associated with moving objects with the bi-nary motion maps, the background extraction is formulated into a motion-assisted matrix completion (MAMC) problem. Experimental results show that our method not only extracts promising backgrounds but also outperforms many state-of-the-art methods in distinguishing moving objects on challeng-ing datasets. Index Terms — Background extraction, optical flow, mo-tion detection, matrix completion, video surveillanc