Object Tracking with Adaptive Multicue Incremental Visual Tracker
Joint Authors
Wang, Jiang-tao
Chen, De-bao
Zhang, Jing-ai
Li, Su-wen
Wang, Xing-jun
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-09-22
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
Generally, subspace learning based methods such as the Incremental Visual Tracker (IVT) have been shown to be quite effective for visual tracking problem.
However, it may fail to follow the target when it undergoes drastic pose or illumination changes.
In this work, we present a novel tracker to enhance the IVT algorithm by employing a multicue based adaptive appearance model.
First, we carry out the integration of cues both in feature space and in geometric space.
Second, the integration directly depends on the dynamically-changing reliabilities of visual cues.
These two aspects of our method allow the tracker to easily adapt itself to the changes in the context and accordingly improve the tracking accuracy by resolving the ambiguities.
Experimental results demonstrate that subspace-based tracking is strongly improved by exploiting the multiple cues through the proposed algorithm.
American Psychological Association (APA)
Wang, Jiang-tao& Chen, De-bao& Zhang, Jing-ai& Li, Su-wen& Wang, Xing-jun. 2014. Object Tracking with Adaptive Multicue Incremental Visual Tracker. Advances in Multimedia،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1015473
Modern Language Association (MLA)
Wang, Jiang-tao…[et al.]. Object Tracking with Adaptive Multicue Incremental Visual Tracker. Advances in Multimedia No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1015473
American Medical Association (AMA)
Wang, Jiang-tao& Chen, De-bao& Zhang, Jing-ai& Li, Su-wen& Wang, Xing-jun. Object Tracking with Adaptive Multicue Incremental Visual Tracker. Advances in Multimedia. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1015473
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1015473