An Automatic Moving Object Detection Algorithm for Video Surveillance Applications

Abstract

Moving object detection is a very important step in video surveillance. And frame difference algorithms are suitable for these applications. First of all, an automatic threshold calculation method was proposed according to statistic information to obtain moving pixels of video frames. Then moving regions can be formed by morphological operations. At last, the nearest distance of two regions was proposed and it was satisfying for region combination. The proposed algorithm is automatic and efficient in intelligent surveillance applications.