A Fast Snake Algorithm for Tracking Multiple Objects


Hua Fang, JeongWoo Kim, JongWhan Jang, Journal of Information Processing Systems Vol. 7, No. 3, pp. 519-530, Sep. 2011  

10.3745/JIPS.2011.7.3.519
Keywords: Snake, Detec tion, Tracking, Multiple Objects, Topology Changes
Fulltext:

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.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from November 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.




Cite this article
[APA Style]
Hua Fang, JeongWoo Kim, & JongWhan Jang (2011). A Fast Snake Algorithm for Tracking Multiple Objects. Journal of Information Processing Systems, 7(3), 519-530. DOI: 10.3745/JIPS.2011.7.3.519.

[IEEE Style]
H. Fang, J. Kim and J. Jang, "A Fast Snake Algorithm for Tracking Multiple Objects," Journal of Information Processing Systems, vol. 7, no. 3, pp. 519-530, 2011. DOI: 10.3745/JIPS.2011.7.3.519.

[ACM Style]
Hua Fang, JeongWoo Kim, and JongWhan Jang. 2011. A Fast Snake Algorithm for Tracking Multiple Objects. Journal of Information Processing Systems, 7, 3, (2011), 519-530. DOI: 10.3745/JIPS.2011.7.3.519.