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论文类型：期刊论文

发表时间：2013-12-01

发表刊物：IMAGE AND VISION COMPUTING

收录刊物：SCIE、EI、Scopus

卷号：31

期号：12

页面范围：992-999

ISSN号：0262-8856

关键字：Object tracking; Bag of features; Appearance model; Geometric relationship

摘要：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.