Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/79745
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Type: Journal article
Title: Edge detection techniques assisted target tracking algorithm
Author: Xu, Xu
Guo, Shuxu
Ding, Yinhao
Citation: Advances in Information Sciences and Services, 2013; 5(7):138-145
Publisher: Advanced Institute of Convergence Information Technology (AICIT)
Issue Date: 2013
ISSN: 1976-3700
School/Discipline: School of Electrical and Electronic Engineering
Statement of
Responsibility: 
Xu Xu, Shuxu Guo, Yinhao Ding
Abstract: This paper proposes an improved approach for target tracking. The new approach addresses the tracking failure issue of Mean-shift algorithm when the dimension of an object changes over time. Object edge detection is implemented into the tracking process. The target can be located more accurately with an adaptive correction system based on the information of object edges. In addition, an improved edge detection algorithm is also studied to overcome the problem of low tracking accuracy in traditional methods. The experiments demonstrate that, compared with the traditional Mean-shift algorithm, the proposed approach can significantly improve the performance in tracking accuracy.
Keywords: Object Tracking; Edge Detection; Mean-Shift
Rights: Copyright status unknown
RMID: 0020128044
DOI: 10.4156/AISS.vol5.issue7.17
Appears in Collections:Electrical and Electronic Engineering publications

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