• Apr 28, 2017 News!Vol.3, No.1 has been published with online version.   [Click]
  • Dec 30, 2016 News!Vol.2, No.4 has been published with online version.   [Click]
  • Jun 22, 2016 News!Vol.2, No.3 has been published with online version.   [Click]
General Information
    • ISSN: 2382-6185
    • Frequency: Quarterly (2015-2016); semiyearly (Since 2017)
    • DOI: 10.18178/IJKE
    • Editor-in-Chief: Prof. Chen-Huei Chou
    • Executive Editor: Ms. Nina Lee
    • Indexed by: Google Scholar, DOAJ, Engineering & Technology Digital Library, Crossref, ProQuest
    • E-mail: ijke@ejournal.net
Editor-in-chief
Prof. Chen-Huei Chou
College of Charleston, SC, USA
It is my honor to be the editor-in-chief of IJKE. I will do my best to help develop this journal better.
IJKE 2015 Vol.1(1): 72-77 ISSN: 2382-6185
DOI: 10.7763/IJKE.2015.V1.13

Robust Object Tracking via Multi-block and Sparsity-Based Representation

Wu Wang, Jinxu Tao, Weiquan Ye, Yongjun Jiang, and Zhongfu Ye
Abstract—In this paper, we propose a robust object tracking algorithm based on classifier, multi-block and local sparse coding with multiple discriminative dictionary. The first part of the propose method is train a classifier with the dictionary encodes the information of both target information and background information. The second part exploits the block information of the object target. The different blocks in a sample should contribute differently to the visual tracking, the model effectively exploit the similarity and distinctiveness of different blocks. Each block is coded on its own discriminative dictionary to allow flexible coding block and the parameter after sparse coding can be used for the weights allocation simultaneously. Furthermore, the update scheme considers both the latest observations and the original template, thereby enabling to alleviate drift problem. Extensive experiments on challenging sequences show that the robust tracking achieved by our algorithm.

Index Terms—Visual tracking, sparse representation, multi-block.

Wu Wang, Jinxu Tao, Yongjun Jiang, and Zhongfu Ye are with the Department of Electronic Engineering and Information Science, University of Science and Technology of China, National Engineering Laboratory for Speech and Language Information Processing, China, Hefei, Anhui 230027, China (e-mail: wangwu6@mail.ustc.edu.cn, jyj365@mail.ustc.edu.cn, tjingx@ustc.edu.cn, yezf@ustc.edu.cn).
Weiquan Ye is with China Tobacco Anhui Industrial Co., Ltd, Hefei, Anhui 230088, P. R. China (e-mail: yewq@ustc.edu.cn).

[PDF]

Cite: Wu Wang, Jinxu Tao, Weiquan Ye, Yongjun Jiang, and Zhongfu Ye, "Robust Object Tracking via Multi-block and Sparsity-Based Representation," International Journal of Knowledge Engineering vol. 1, no. 1, pp. 72-77, 2015.

Copyright © 2008-2016. International Journal of Knowledge Engineering. All rights reserved.
E-mail: ijke@ejournal.net