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


Vol. 13,  No. 3, pp. 239-244, Jun.  2006
10.3745/KIPSTB.2006.13.3.239


PDF
  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.

  Statistics
  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.

Forms

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)

Old Journals

Indexing

All publications of TKIPS is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.

TKIPS is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).

Related Journals