Counting Pedestrians and Cars with An Improved Virtual Gate Method
This paper presents a system for counting the number of the pedestrians and the cars passing through a line, with an improved virtual gate method. First, the foreground area is extracted using GMM-based background modeling. Second, the velocity field in the foreground regions are computed by an improved optical flow estimation method, which enables the estimation of the dense velocity field of the cars. Then, we separate the velocity field into different groups by using threshold constraints and perform integration on each group along a virtual gate. According to the integration results, the number of the pedestrians and the cars can be estimated. Finally, the experimental results validate our method on several real video sequences.
pedestrian counting car counting improved virtual gate method velocity field integration
Jiajun Lu Yi Xu Xiaokang Yang
Department of Electronic Engineering Shanghai Jiao Tong University Shanghai, China
国际会议
太原
英文
448-452
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）