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Conference Paper
Real-time Multi-Person Tracking in Fixed Surveillance Camera Environment
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- Authors
- Jin-Woo Choi, Jang-Hee Yoo
- Issue Date
- 2013-01
- Citation
- International Conference on Consumer Electronics (ICCE) 2013, pp.125-126
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- In this paper, we propose a real-time multi-person tracking system operating in fixed surveillance camera environment. We adopt particle filtering as our object tracking framework. Background subtraction is used to generate the ROI. And pedestrian detection is used to initialize each tracker. Object size estimation and tracking failure detection is proposed to improve tracking accuracy and robustness. Experimental results demonstrate that the proposed algorithm tracks multiple persons efficiently in real-time. © 2013 IEEE.
- KSP Keywords
- Background Subtraction, Multi-person tracking, Object Tracking, Real-time, Tracking System, Tracking failure, failure detection, particle filtering, pedestrian detection, size estimation, surveillance camera