DocumentCode :
3424572
Title :
An active contour model using image flow for tracking a moving object
Author :
Kim, Won ; Hong, Sun-Gi ; Lee, Ju-Jang
Author_Institution :
Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea
Volume :
1
fYear :
1999
fDate :
1999
Firstpage :
216
Abstract :
An active contour model was developed as a useful segmenting and tracking tool for rigid or nonrigid objects. Snake, one of the active contour models (ACMs), is designed on the basis of Snake energies. Segmenting and tracking can be executed successfully by the process of energy minimization. The ability to contract is a important process for segmenting objects from images, but the contraction forces of Kass´ Snake are dependent on the object´s form. In this research, new contraction energy, independent of the object´s form, is proposed for the segmentation. Kass´ Snake can be applied to the case of small changes between two images because its solutions can be obtained from the basis of variational approach. Furthermore considering the case that the motion is too large to apply image flow energy to tracking. A jump mode was proposed for solving the problem
Keywords :
active vision; image segmentation; image sequences; minimisation; Snake; active contour model; contraction energy; energy minimization; image flow; jump mode; moving object tracking; Active contours; Contracts; Energy states; Equations; Image segmentation; Information geometry; Machine vision; Minimization methods; Tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems, 1999. IROS '99. Proceedings. 1999 IEEE/RSJ International Conference on
Conference_Location :
Kyongju
Print_ISBN :
0-7803-5184-3
Type :
conf
DOI :
10.1109/IROS.1999.813007
Filename :
813007
Link To Document :
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