Abstract:An algorithm is proposed to implement targets matching in multi-view surveillance system，which projects target divisions onto multiple space layers in a fuzzy way，and then employs a voting decision method to get the optimal matching results. It improves the matching accuracy，besides，it not only modifies the errors of target detection，but also decreases computational costs. Experiments on open-tested datasets demonstrate the effectiveness and robustness of the algorithm.