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A Fast Snake Algorithm for Tracking Multiple Objects
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  • A Fast Snake Algorithm for Tracking Multiple Objects
  • A Fast Snake Algorithm for Tracking Multiple Objects
저자명
Fang. Hua,Kim. Jeong-Woo,Jang. Jong-Whan
간행물명
Journal of information processing systems
권/호정보
2011년|7권 3호|pp.519-530 (12 pages)
발행정보
한국정보처리학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

A Snake is an active contour for representing object contours. Traditional snake algorithms are often used to represent the contour of a single object. However, if there is more than one object in the image, the snake model must be adaptive to determine the corresponding contour of each object. Also, the previous initialized snake contours risk getting the wrong results when tracking multiple objects in successive frames due to the weak topology changes. To overcome this problem, in this paper, we present a new snake method for efficiently tracking contours of multiple objects. Our proposed algorithm can provide a straightforward approach for snake contour rapid splitting and connection, which usually cannot be gracefully handled by traditional snakes. Experimental results of various test sequence images with multiple objects have shown good performance, which proves that the proposed method is both effective and accurate.