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Abstract
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Article Information:
A Robust Object Tracking Approach based on Mean Shift Algorithm
Zhang Xiaojing, Yajie Yue and Chenming Sha
Corresponding Author: Zhang Xiaojing
Submitted: December 3, 2012
Accepted: January 11, 2013
Published: July 25, 2013 |
Abstract:
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Object tracking has always been a hotspot in the field of computer vision, which has a range of applications in real word. The object tracking is a critical task in many vision applications. The main steps in video analysis are two: detection of interesting moving objects and tracking of such objects from frame to frame. Most of tracking algorithms use pre-defined methods to process. In this study, we introduce the Mean shift tracking algorithm, which is a kind of important no parameters estimation method, then we evaluate the tracking performance of Mean shift algorithm on different video sequences. Experimental results show that the Mean shift tracker is effective and robust tracking method.
Key words: Computer vision, mean shift, no parameters estimation, object tracking, , ,
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Cite this Reference:
Zhang Xiaojing, Yajie Yue and Chenming Sha, . A Robust Object Tracking Approach based on Mean Shift Algorithm. Research Journal of Applied Sciences, Engineering and Technology, (11): 2086-2092.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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