Moving Object Detection and Tracking for Real-Time Video
Aiyun Yan · Jisuanji fangzhen · 2012
Background subtraction arithmetic is one of the practical and efficient moving objects detection algorithms based on still and complicated background,whose difficulty is how to get rid of noises and extract pure object pixels.Most of the background models need update using plenty of complicated calculation,which makes the real-time system hard to run.Aiming at the problems,the paper presented a new approach of background subtraction based on pixels features of objects.The method moved object edge information into background subtraction and then did object pixels clustering based on gridding density,and then tracked objects using the improved Mean Shift arithmetic.Experiments on DM642 show this method can detect and track multiple targets even when they cross each other under complicated and bad background.