NDLI: Improved mean shift algorithm for moving object tracking

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2010 2nd International Conference on Computer Engineering and Technology

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2009 International Conference on Computer Engineering and Technology

Improved mean shift algorithm for moving object tracking

Content Provider	IEEE Xplore Digital Library
Author	Tao Liu Xiao-ping Cheng
Copyright Year	2010
Description	Author affiliation: School of Computer and Information Science, Southwest University, Chongqing, China (Tao Liu; Xiao-ping Cheng)
Abstract	Mean shift is a nonparametric estimator of density gradient. Traditional mean shift algorithm is rather sensitive to the influence of background. Therefore, an improved mean shift object tracking algorithm is proposed. Firstly, a novel weights given method is given, which improves the kernel function. The method is that the pixels which near the centre of object are given biggest weights, and the pixels which at the edge of the object are given by exponent distribution as a result of occlusion. In order to hand the occlusion, the occlusion detecting method based on sub-block detecting is also established. The novel sub-block detecting algorithm is that the tracking window is divided into two parts, including right and left, and the similarity measure is calculated respectively. The simulation results show that the improved mean shift algorithm can hand the occlusion effectively and track the moving object very well, and it can track moving object more powerful than the basic mean shift tracked.
File Size	531449
File Format	PDF
ISBN	9781424463473
e-ISBN	9781424463497
DOI	10.1109/ICCET.2010.5485959
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer vision occlusion detecting Tracking mean shift Application software Histograms Information science Object detection Video surveillance object tracking Robustness Motion detection Kernel Bhattacharyya coefficient
Content Type	Text
Resource Type	Article

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