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Robust visual tracking via nonlocal regularized multi-view sparse representation

Title:

Robust visual tracking via nonlocal regularized multi-view sparse representation

Zhu, Wei-Ping, Kang, Bin, Liang, Dong and Chen, Mingkai (2018) Robust visual tracking via nonlocal regularized multi-view sparse representation. Pattern Recognition . ISSN 00313203

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Official URL: http://dx.doi.org/10.1016/j.patcog.2018.11.005

Abstract

The multi-view sparse representation based visual tracking has attracted increasing attention because the sparse representations of different object features can complement with each other. Since the robustness of different object features is actually not the same in challenging video sequences, it may contain unreliable features (the features with low robustness) in multi-view sparse representation. In this case, how to highlight the useful information of unreliable features for proper multi-feature fusion has become a tough work. To solve this problem, we propose a multi-view discriminant sparse representation method for robust visual tracking, in which we firstly divide the multi-view observations into different groups, and then estimate the sparse representations of multi-view group projections for calculating the observation likelihood. The advantages of the proposed sparse representation method are two-folds: 1) It can properly fuse the observation groups with reliable and unreliable features by using an online updated discriminant matrix to explore the group similarity in multi-feature space. 2) It introduces a nonlocal regularizer to enforce the spatial smoothness among the sparse representations of different group projections, which can enhance the robustness of multi-view sparse representation. Experimental results show that our method can achieve a better tracking performance than state-of-the-art tracking methods do

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Electrical and Computer Engineering
Item Type:Article
Refereed:Yes
Authors:Zhu, Wei-Ping and Kang, Bin and Liang, Dong and Chen, Mingkai
Journal or Publication:Pattern Recognition
Date:2018
Digital Object Identifier (DOI):10.1016/j.patcog.2018.11.005
Keywords:sparse representation; visual tracking; multi-view learning; dual group structure
ID Code:984704
Deposited By: ALINE SOREL
Deposited On:27 Nov 2018 19:56
Last Modified:27 Nov 2018 19:56

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