A novel approach of counting people based on stereovision and DSP

A novel approach for counting people passing through a region where is surveilled by a parallel-fixed binocular camera is proposed in this paper. Firstly, two virtual counting lines are set to obtain four line space-time gray images. Then an integrated algorithm based on binocular stereovision and regional gray projection is proposed to extract and split overlapped moving objects in complex counting environment. At last, the object matching and counting is accomplished in space-time disparity maps. The counting algorithm takes full advantage of the objects' 2D and 3D information, and is implemented on the DSP hardware system. The practical test results show that the proposed system can operate in real-time and achieve a counting accuracy of over 96% in crowded people environment.