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학술대회 Modified Mean-Shift for Head Tracking
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저자
이대하, 김재홍, 손주찬
발행일
201111
출처
International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) 2011, pp.848-849
DOI
https://dx.doi.org/10.1109/URAI.2011.6146040
협약과제
11MC2700, 인간-로봇 상호작용 매개 기술 개발, 김재홍
초록
Mean-Shift algorithm has been applied mode seeking, image segmentation and object tracking. It is famous for fast convergence within limited boundary. But once exit that boundary, it fails to find correct region and position. We applied mean-shift algorithm in object tracking, and we suggest modified mean-shift tracking method. Using this modified version, we can track object without failing. © 2011 IEEE.
KSP 제안 키워드
Head tracking, Mean-shift(MS), Mean-shift tracking, Tracking method, fast convergence, image segmentation, mean-shift algorithm, object Tracking