title: Sparse Coding and Counting for Robust Visual Tracking.
abstract: In this paper, we propose a novel sparse coding and counting method under Bayesian framework for visual tracking. In contrast to existing methods, the proposed method employs the combination of L0 and L1 norm to regularize the linear coefficients of incrementally updated linear basis. The sparsity constraint enables the tracker to effectively handle difficult challenges, such as occlusion or image corruption. To achieve real-time processing, we propose a fast and efficient numerical algorithm for solving the proposed model. Although it is an NP-hard problem, the proposed accelerated proximal gradient (APG) approach is guaranteed to converge to a solution quickly. Besides, we provide a closed solution of combining L0 and L1 regularized representation to obtain better sparsity. Experimental results on challenging video sequences demonstrate that the proposed method achieves state-of-the-art results both in accuracy and speed.
authors.affiliation: School of Software Technology, Dalian University of Technology, Dalian City, Liaoning Province, China.|Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian City, Liaoning Province, China.
authors.forename: Risheng
authors.initials: R
authors.lastname: Liu
authors.affiliation: School of Mathematic Sciences, Dalian University of Technology, Dalian City, Liaoning Province, China.
authors.forename: Jing
authors.initials: J
authors.lastname: Wang
authors.affiliation: Dalian Campus, Luxun Academy of Fine Arts, Dalian City, Liaoning Province, China.
authors.forename: Xiaoke
authors.initials: X
authors.lastname: Shang
authors.affiliation: School of Mathematic Sciences, Dalian University of Technology, Dalian City, Liaoning Province, China.
authors.forename: Yiyang
authors.initials: Y
authors.lastname: Wang
authors.affiliation: School of Mathematic Sciences, Dalian University of Technology, Dalian City, Liaoning Province, China.
authors.forename: Zhixun
authors.initials: Z
authors.lastname: Su
authors.affiliation: School of Mathematic Sciences, Dalian University of Technology, Dalian City, Liaoning Province, China.
authors.forename: Yu
authors.initials: Y
authors.lastname: Cai
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D001499:Bayes Theorem; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation / Q000379:methods*; D008962:Models, Theoretical; D009038:Motion