A Moving Object Detection Algorithm Based on Match Time
Shang Zhi-en · Jisuanji gongcheng · 2013
The disadvantage of Gaussian Mixture Model(GMM) is that it requires large amount of computation and its poor real-time detection performance in the process of moving object detection.Aiming at this problem,a moving object detection algorithm based on match times is proposed.It constructs background by creating Gaussian models,counts the number of match times of the observed values of each pixel with the background model,according to the number of match times,divides the detected scene into two areas,such as a static area and a dynamic area.It detects every discontinuous frame for static pixels,does every frame detection for dynamic pixels,and is combined with testing quality and the real-time requirements to study the match threshold value and the interval between frames.Experimental results show that when the static zone area is about 50% for the area of the whole frame,the image detection times of this algorithm for each frame in indoor and outdoor scene are 27 ms and 20 ms,and it can improve the efficiency of detection.