Title :
A Fast and Robust People Counting Method in Video Surveillance
Author :
Zhang, Enwei ; Chen, Feng
Abstract :
Video surveillance has become more and more prevalent. It is a basic problem to get the number of access people in scenes. When occlusions occur, it becomes difficult to count people. We propose a fast and robust people counting method, and implement a system. In our system, we use group tracking to compensate weakness of multiple human segmentation, which can handle complete occlusion. Our system can run in real-time about 30fps for CIF video, with counting accuracy defined by frame above 95%.
Keywords :
Automation; Cameras; Face detection; Humans; Image segmentation; Layout; Motion detection; Robustness; Security; Video surveillance;
Conference_Titel :
Computational Intelligence and Security, 2007 International Conference on
Conference_Location :
Harbin, China
Print_ISBN :
0-7695-3072-9
Electronic_ISBN :
978-0-7695-3072-7
DOI :
10.1109/CIS.2007.85
