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Computational Intelligence and Neuroscience
Volume 2017 (2017), Article ID 2426475, 7 pages
Research Article

Patch Based Multiple Instance Learning Algorithm for Object Tracking

1Department of Information Engineering and Automation, Hebei College of Industry and Technology, Shijiazhuang, China
2Faculty of Electrical & Electronics Engineering, Shijiazhuang University of Applied Technology, Shijiazhuang, China

Correspondence should be addressed to Lijia Wang

Received 17 September 2016; Revised 19 December 2016; Accepted 9 January 2017; Published 22 February 2017

Academic Editor: Silvia Conforto

Copyright © 2017 Zhenjie Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Zhenjie Wang, Lijia Wang, and Hua Zhang, “Patch Based Multiple Instance Learning Algorithm for Object Tracking,” Computational Intelligence and Neuroscience, vol. 2017, Article ID 2426475, 7 pages, 2017. doi:10.1155/2017/2426475