Video Moving Object Segmentation Algorithm Based on an Improved Kirsch Edge Operator

To solve the problem of moving object segmentation in video sequence, a new video moving object segmentation algorithm was proposed based on Kirsch edge operator. The detected edge is mainly analyzed for segmentation and motion vector field is taken as assistant information. Firstly, the motion vectors are processed by accumulation and median filer. Secondly, templates of Kirsch operators are decomposed into difference templates and common templates to find the edge position; then, the edge information and the motion vectors are fused to get moving object by adaptive state labeling. The experimental results show the proposed algorithm has a better veracity of segmentation.