Stereo Vision Technology In The Traffic Statistics System

Shopping malls and public transportation systems would like to keep track of shoppers and passengers volume by employing automatic techniques. We are developing a Real-time Stereo-Based Passenger Flow Estimation System for these needs. In this paper, the stereo-based approach that detects and tracks people from a stereo camera mounted above a door and pointing down is described. It contains three key points:1)obtaining left and right images synchronously, 2)stereo matching for real-time application, 3)applying 2-D image processing results and designing Depth criteria in a hierarchical manner, the efficient perceptual grouping of human head is realized, and with depth prediction, the accuracy of head tracking is improved.