상세정보
학술대회
Real-time Multi-Person Tracking in Fixed Surveillance Camera Environment
- 발행일
- 201301
- 출처
- International Conference on Consumer Electronics (ICCE) 2013, pp.125-126
- 협약과제
- 12VG1100, 사람에 의한 안전위협의 실시간 인지를 위한 능동형 영상보안 서비스용 원거리 (CCTV 주간환경 5m이상) 사람 식별 및 검색 원천기술 개발, 유장희
- 초록
- 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 제안 키워드
- Background subtraction(BS), Failure detection, Multi-person tracking, Real-Time, Tracking System, Tracking failure, object Tracking, particle filtering, pedestrian detection, size estimation, surveillance camera