A FAST AND RELIABLE MOTION HUMAN DETECTION AND TRACKING BASED ON BACKGROUND SUBTRACTION
B.S.M MADHAVI · IOSR Journal of Electronics and Communication Engineering · 2012
According to the result of moving object detection research on video sequences, this paper proposes a new method to detect moving object based on background subtraction.First of all, we establish a reliable background updating model based on statistical and use a dynamic optimization threshold method to obtain a more complete moving object.And then,morphological filtering is introduced to eliminate the noise and solve the background disturbance problem.At last, contour projection analysis is combined with the shape analysis to remove the effect of shadow, the moving human body are accurately and reliably detected.The experiment results show that the proposed method runs quickly, accurately and fits for the real-time detection.The occlusion is one of the most common events in object tracking and object centroid of each object is used for detecting the occlusion and identifying each object separately.Video sequences have been captured in the laboratory and tested with the proposed algorithm.The algorithm works efficiently in the event of occlusion in the video sequences.