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Motion-Estimated Active Rays-Based Fast Moving Object Tracking  

Ra Jeong-Jung (Korea Electric Power Corporation)
Seo Kyung-Seok (School of Electrical Engineering & Computer Science Kyungpook National University)
Choi Hung-Moon (School of Electrical Engineering & Computer Science Kyungpook National University)
Publication Information
Abstract
This paper proposed a object tracking algorithm which can track contour of fast moving object through motion estimation. Since the proposed tracking algorithm is based on the radial representation, the motion estimation of object can be accomplished at the center of object with the low computation complexity. The motion estimation of object makes it possible to track object which move fast more than distance from center point to contour point for each frame. In addition, by introducing both gradient image and difference image into energy functions in the process of energy convergence, object tracking is more robust to the complex background. The results of experiment show that the proposed algorithm can track fast moving object in real-time and is robust under the complex background.
Keywords
Fast moving object tracking; real time tracking; active rays; motion estimation;
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