Optimized dynamic background subtraction technique for moving object detection and tracking

Abstract

Moving Object detection and tracking in a video have applications in video-surveillance and robotics, human-computer interaction. Three frame differencing is better than two frames difference technique due to fewer problems of holes. Dynamic background detection technique is much better than static background technique for video with background change. So in this paper, background is updated with averaging of frame t−1, frame t+1 and previous updated background. This updated background is subtracted from frame t for foreground detection and merged with three frame subtraction. So there is scope of work such that holes problem should be reduced more and object should be detected better in dynamic changes in background. In this work, the proposed technique is able to reduce the holes problem in dynamic background updating video. This technique is extract foreground better than existing static and dynamic background.