Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
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A Fast Snake Algorithm for Tracking Multiple Objects

  • Fang, Hua (Dept. of Information and Communications Engineering, PaiChai University) ;
  • Kim, Jeong-Woo (Dept. of Information and Communications Engineering, PaiChai University) ;
  • Jang, Jong-Whan (Dept. of Information and Communications Engineering, PaiChai University)
  • Received : 2011.03.07
  • Accepted : 2011.05.09
  • Published : 2011.09.30
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Abstract

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.

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References

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