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Robust Object Tracking System via Sparse Representation: A Review

Syafawati, Md Yusof and Kamarul Hawari, Ghazali and Sunardi, S. and Rosyati, Hamid (2014) Robust Object Tracking System via Sparse Representation: A Review. In: 5th Symposium on Image Processing, Image Analysis and Real Time Imaging (IPIARTI 2014) & 2nd Symposium on Acoustics, Speech and Signal Processing (SASSP 2014), 30 April 2014 , UNIMAP. p. 1..

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Object tracking is a challenging issue in computer vision and it has been studied by numerous researchers, with several approaches are introduced to improve the tracking performance. The challenges arise in object tracking such as occlusion, background clutter, illumination conditions and appearance changes have motivated researchers to explore a robust tracking system which can handle these problem. One of the recent tracking technique is sparse representation method where it has been exploited in many tracking-based applications as it is proven to be robust to the challenges stated earlier as compared to other tracking method. This paper reviews the recent sparse technique in several applications, focusing on the robustness and efficiency of the proposed method. More specifically, the advantages and disadvantages of the proposed algorithm in each application will be pointed out by comparing with other tracking methods. At the end of the discussion, a new tracking-based application deploying the robust sparse technique will be proposed.

Item Type: Conference or Workshop Item (Speech)
Uncontrolled Keywords: object tracking, robust system, sparse representation
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Noorul Farina Arifin
Date Deposited: 17 Dec 2014 06:04
Last Modified: 20 Mar 2018 00:55
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