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For the problem of moving object segmentation in video sequence, a new video moving object segmentation algorithm based on Kirsch edge operator is proposed. The edge detected by Kirsch operator is taken as primary partition information, and motion vector field is taken as secondary partition information. First assisted segmentation information is obtained by accumulating and filtering Dual-scale motion vector field; Secondly, templates of Kirsch operators are decomposed into difference templates and common templates to improve the noise immunity of edges; then, the edge information and the motion vectors are fused to get moving object accurately by adaptive state labeling. The experimental results show that the proposed algorithm has a better veracity of segmentation.