The cameras in this study are used to extend view field. The paper proposed a three-dimensional information based human tracking method. The method firstly samples the pixels within the human body in one of the video images

and then finds the matching points in the other simultaneous video images by polar line constraints. The three-dimensional points in space corresponding to each pair of the matches are obtained by triangulation and are also clustered. The pixels in the image plane corresponding to each clustering region which includes the three-dimensional points are decided. Finally

Gaussian-smoothing histograms are created based on the pixels in the image plane. Occluded people would be divided into each other by the Gaussian-smoothing histograms. The matching relation of each person in different cameras could be found and thus the human tracking is realized. Experimental results show the efficiency of the method.