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http://dx.doi.org/10.5302/J.ICROS.2012.18.7.673

Robust Tracking Algorithm for Moving Object using Kalman Filter and Variable Search Window Technique  

Kim, Young-Kyun (Seokyeong University)
Hyeon, Byeong-Yong (Seokyeong University)
Cho, Young-Wan (Seokyeong University)
Seo, Ki-Sung (Seokyeong University)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.18, no.7, 2012 , pp. 673-679 More about this Journal
Abstract
This paper introduces robust tracking algorithm for fast and erratic moving object. CAMSHIFT algorithm has less computation and efficient performance for object tracking. However, the method fails to track a object if it moves out of search window by fast velocity and/or large movement. The size of the search window in CAMSHIFT algorithm should be selected manually also. To solve these problems, we propose an efficient prediction technique for fast movement of object using Kalman Filter with automatic initial setting and variable configuration technique for search window. The proposed method is compared to the traditional CAMSHIFT algorithm for searching and tracking performance of objects on test image frames.
Keywords
CAMSHIFT; Kalman filter; object tracking; variable sized search-window;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
Times Cited By SCOPUS : 0
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