대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
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- Pages.291-294
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- 2004
고속의 세미오토매틱 비디오객체 추적 알고리즘
A Fast Semiautomatic Video Object Tracking Algorithm
- 발행 : 2004.11.12
초록
Semantic video object extraction is important for tracking meaningful objects in video and object-based video coding. We propose a fast semiautomatic video object extraction algorithm which combines a watershed segmentation schemes and chamfer distance transform. Initial object boundaries in the first frame are defined by a human before the tracking, and fast video object tracking can be achieved by tracking only motion-detected regions in a video frame. Experimental results shows that the boundaries of tracking video object arc close to real video object boundaries and the proposed algorithm is promising in terms of speed.