DocumentCode :
3318239
Title :
Object Contour Tracking Using the Optimization of the Number of Snake Points
Author :
Kim, Shin-Hyoung ; Alattar, Ashraf ; Jang, Jong Whan
Author_Institution :
Dept. of Inf. & Commun. Eng., PaiChai Univ., Daejeon
Volume :
2
fYear :
2006
fDate :
3-6 Nov. 2006
Firstpage :
1591
Lastpage :
1596
Abstract :
In this paper 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. Performance of the proposed algorithm has been verified with a set of experiments
Keywords :
feature extraction; image sequences; optimisation; stereo image processing; target tracking; object boundary; object contour tracking; snake point optimization; stereo image sequences; Active contours; Engineering management; Focusing; Image coding; Image converters; Image edge detection; Image sequences; Intelligent vehicles; Multimedia systems; Video coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Security, 2006 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
1-4244-0605-6
Electronic_ISBN :
1-4244-0605-6
Type :
conf
DOI :
10.1109/ICCIAS.2006.295331
Filename :
4076237
Link To Document :
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