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 |
Files in This Item:
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RA_hdl_102219.pdf Restricted Access | Restricted Access | 2.88 MB | Adobe PDF | View/Open |
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