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Combined Active Contour Model and Motion Estimation for Real-Time Object Tracking  

Kim, Dae-Hee (Dept. of Image Engineering, Graduate School of Advanced Imaging Science, Multimedia, and Film, Chung-Ang University)
Lee, Dong-Eun (Dept. of Image Engineering, Graduate School of Advanced Imaging Science, Multimedia, and Film, Chung-Ang University)
Paik, Joon-Ki (Dept. of Image Engineering, Graduate School of Advanced Imaging Science, Multimedia, and Film, Chung-Ang University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.44, no.5, 2007 , pp. 64-72 More about this Journal
Abstract
In this paper we proposed a combined active contour model and motion estimation-based object tracking technique. After assigning the initial contour, we find the object's boundary and update the initial contour by using object's motion information. In the following frames, similar snake algorithm is repeated to make continuously estimated object's region. The snake algerian plays a role in separating the object from background, while motion estimation provides object's moving direction and displacement. The proposed algorithm provides equivalently stable, robust, tracking performance with significantly reduced amount of computation, compared with the existing shape model-based algorithms.
Keywords
snake algorithm; motion estimation; object tracking;
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