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http://dx.doi.org/10.9717/kmms.2013.16.5.619

Object-Tracking System Using Combination of CAMshift and Kalman filter Algorithm  

Kim, Dae-Young (전남대학교 대학원 전자컴퓨터공학과)
Park, Jae-Wan (전남대학교 대학원 전자컴퓨터공학과)
Lee, Chil-Woo (전남대학교 전자컴퓨터공학부)
Publication Information
Journal of Korea Multimedia Society / v.16, no.5, 2013 , pp. 619-628 More about this Journal
Abstract
In this paper, we describe a strongly improved tracking method using combination of CAMshift and Kalman filter algorithm. CAMshift algorithm doesn't consider the object's moving direction and velocity information when it set the search windows for tracking. However if Kalman filter is combined with CAMshift for setting the search window, it can accurately predict the object's location with the object's present location and velocity information. By using this prediction before CAMshift algorithm, we can track fast moving objects successfully. Also in this research, we show better tracking results than conventional approaches which make use of single color information by using both color information of HSV and YCrCb simultaneously. This modified approach obtains more robust color segmentation than others using single color information.
Keywords
Kalman filter; CAMshift; Object Tracking;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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