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Indexed by:期刊论文

Date of Publication:2008-11-20

Journal:ELECTRONICS LETTERS

Included Journals:SCIE、EI、Scopus

Volume:44

Issue:24

Page Number:1401-U8

ISSN No.:0013-5194

Abstract:A novel tri-tracking method for tracking objects is proposed. The tracker trains three support vector machines with labelled frames, in which an object is represented using three independent feature histograms. Based on the confidence map created by each classifier, the object position is given by the mean shift. Experiments on several video sequences show the robustness and accuracy of the proposed method.