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dc.contributor.authorXu, Xuen
dc.contributor.authorGuo, Shuxuen
dc.contributor.authorDing, Yinhaoen
dc.identifier.citationAdvances in Information Sciences and Services, 2013; 5(7):138-145en
dc.description.abstractThis 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.en
dc.description.statementofresponsibilityXu Xu, Shuxu Guo, Yinhao Dingen
dc.publisherAdvanced Institute of Convergence Information Technology (AICIT)en
dc.rightsCopyright status unknownen
dc.subjectObject Tracking; Edge Detection; Mean-Shiften
dc.titleEdge detection techniques assisted target tracking algorithmen
dc.typeJournal articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen
Appears in Collections:Electrical and Electronic Engineering publications

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