Object Contour Tracking Using Optimization of the Number of Snake Points in Stereoscopic Images


The KIPS Transactions:PartB , Vol. 13, No. 3, pp. 239-244, Jun. 2006
10.3745/KIPSTB.2006.13.3.239,   PDF Download:

Abstract

In this paper, we present a snake-based scheme for contour tracking of objects in stereo image sequences. We address the problem by managing the insertion of new points and deletion of unnecessary points to better describe and track the object's boundary. In particular, our method uses more points in highly curved parts of the contour, and fewer points in less curved parts. The proposed algorithm can successfully define the contour of the object, and can track the contour in complex images. Furthermore, we tested our algorithm in the presence of partial object occlusion. Performance of the proposed algorithm has been verified by simulation.


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Cite this article
[IEEE Style]
S. H. Kim and J. W. Jang, "Object Contour Tracking Using Optimization of the Number of Snake Points in Stereoscopic Images," The KIPS Transactions:PartB , vol. 13, no. 3, pp. 239-244, 2006. DOI: 10.3745/KIPSTB.2006.13.3.239.

[ACM Style]
Shin Hyoung Kim and Jong Whan Jang. 2006. Object Contour Tracking Using Optimization of the Number of Snake Points in Stereoscopic Images. The KIPS Transactions:PartB , 13, 3, (2006), 239-244. DOI: 10.3745/KIPSTB.2006.13.3.239.