PEOPLE COUNTING USING FISHEYE CAMERA
Jung-Ming Wang, Sei-Wang Chen, Shen Cherng, Chiou‐Shann Fuh · 2007
In this paper, a pedestrian counting system based on top-view video sequence is proposed. This system consists of foreground people detection and people counting algorithm. For people detection, we simulate the human vision system to extract foreground objects. Since human vision system is robust to the illumination changing, our system can be applied in outdoor environments. In the people counting part, human regions are tracked and counted based on a graph matching algorithm. Tracking results are used to determine the direction of region movement based on unary and binary features. Our system has been tested in many different cases of pedestrian density. We give examples of the system counting people in real-time in describe.