The Detection Techniques Of Motion Regions In Time-Differenced Image

Production of the video object is very important in many ways. It is not only foundation of the content-based video coding but also is important tache in the video image of tracking recognition. Because the video object (motion object) consist in the motion region. The important technique of the video object production is detection of the motion region and then build the video object that combine other characters in the motion region. It is the key that the accurate detection of the motion region. Thus,the study about the detection of motion-changed regions is very important.This paper proposes the two ways that can automatically detect motion change regions in video sequence. One way is the automatic video motion region detection method based on the noise parameters estimation and energy analysis. This method based on differenced frame process and utilizes double constraints of relative Gaussian noise and block energy to detect the change region. Compared with the traditional detective methodes based on frame difference,the operation of the method is more less.Because the threshold based on noise characteristic parameters is adaptive produced, algorithmic adaptability is better. Meanwhile the proposed algorithm is more accuracy. with has been corrected by the energy analysis.Other way is the motion-changed region detection algorithm based on fuzzy entropy clustering in time-differenced image . First, we analysis the general theoretical model of video segmentation. Secondly, based on the model, an automatic detection algorithm of motion-changed regions is proposed from the point of fuzzy entropy clustering. Motion-changed regions are detected, using a fuzzy clustering rule to distinguish between the relative noisy and motion-changed regions in time-differenced image.Two methodes of the detections are realized by the development environment of Matlab, The proposed algorithm is effective with more adaptive and accuracy. with has been proved by the experimental results. At last, the paper gives the summarization and prospection.