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Indexed by:期刊论文

Date of Publication:2013-12-01

Journal:IMAGE AND VISION COMPUTING

Included Journals:SCIE、EI、Scopus

Volume:31

Issue:12

Page Number:992-999

ISSN No.:0262-8856

Key Words:Object tracking; Bag of features; Appearance model; Geometric relationship

Abstract:In this paper, we propose a visual tracking algorithm by incorporating the appearance information gathered from two collaborative feature sets and exploiting its geometric structures. A structured visual dictionary (SVD) can be learned from both appearance and geometric structure, thereby enhancing its discriminative strength between the foreground object and the background. Experimental results show that the proposed tracking algorithm using SVD (SVDTrack) performs favorably against the state-of-the-art methods. (C) 2013 Elsevier B.V. All rights reserved.