상세정보
학술지
Multi-Target Tracking by Enhancing the Kernelised Correlation Filter-based Tracker
- 발행일
- 201709
- 출처
- Electronics Letters, v.53 no.20, pp.1358-1360
- ISSN
- 0013-5194
- 출판사
- IET
- 협약과제
- 17HS5100, 보행자 위치공간 인지 증강 및 스포츠 경기력 분석을 위한 정밀측위 원천기술개발, 박상준
- 초록
- A new tracking method based on the kernelised correlation filter (KCF) method is proposed. The tracker improves KCF-based trackers by adding seven proposed components, namely, the motion model, background subtraction, occlusion handling, hijacking handling, object proposal, bounding box modification, and object re-detection. With these components, the tracker robustly tracks multiple targets despite severe occlusion, rapid motion, and the presence of other objects with similar appearance. The visual tracking performance is evaluated by using challenging basketball game videos. Experiments demonstrate that the tracker outperforms the original KCF tracker and other state-of-The-Art tracking methods.
- KSP 제안 키워드
- Background subtraction(BS), Bounding Box, Correlation Filter, Filter-based, Hijacking handling, Object Proposals, Occlusion Handling, Tracking Performance, Tracking method, Visual Tracking, motion model