Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/102219
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Type: Journal article
Title: Visual tracking via weakly supervised learning from multiple imperfect oracles
Author: Zhong, B.
Yao, H.
Chen, S.
Ji, R.
Chin, T.
Wang, H.
Citation: Pattern Recognition, 2014; 47(3):1395-1410
Publisher: Elsevier
Issue Date: 2014
ISSN: 0031-3203
1873-5142
Statement of
Responsibility: 
B. Zhong, H. Yao, S. Chen, R. Ji, T.J. Chin, H. Wang
Abstract: Abstract not available
Keywords: Visual tracking; Weaklysupervisedlearning; Information fusion; Online learning; Adaptiveappearancemodel; Drift problem; Online evaluation
Rights: Crown Copyright © 2013 Published by Elsevier Ltd. All rights reserved
DOI: 10.1016/j.patcog.2013.10.002
Published version: http://www.sciencedirect.com/science/article/pii/S0031320313004081
Appears in Collections:Aurora harvest 7
Computer Science publications

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