Robust Object Tracking System via Sparse Representation: A Review

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 appearan...

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Main Authors:	Syafawati, Md Yusof, Kamarul Hawari, Ghazali, Sunardi, S., Rosyati, Hamid
Format:	Conference or Workshop Item
Language:	English
Published:	2014
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/7850/ http://umpir.ump.edu.my/id/eprint/7850/1/fkee-2014-syafawati-Robust_Object_Tracking.pdf

id	ump-7850
recordtype	eprints
spelling	ump-78502018-03-20T00:55:07Z http://umpir.ump.edu.my/id/eprint/7850/ Robust Object Tracking System via Sparse Representation: A Review Syafawati, Md Yusof Kamarul Hawari, Ghazali Sunardi, S. Rosyati, Hamid TK Electrical engineering. Electronics Nuclear engineering 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. 2014 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/7850/1/fkee-2014-syafawati-Robust_Object_Tracking.pdf 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..
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Syafawati, Md Yusof Kamarul Hawari, Ghazali Sunardi, S. Rosyati, Hamid Robust Object Tracking System via Sparse Representation: A Review
description	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.
format	Conference or Workshop Item
author	Syafawati, Md Yusof Kamarul Hawari, Ghazali Sunardi, S. Rosyati, Hamid
author_facet	Syafawati, Md Yusof Kamarul Hawari, Ghazali Sunardi, S. Rosyati, Hamid
author_sort	Syafawati, Md Yusof
title	Robust Object Tracking System via Sparse Representation: A Review
title_short	Robust Object Tracking System via Sparse Representation: A Review
title_full	Robust Object Tracking System via Sparse Representation: A Review
title_fullStr	Robust Object Tracking System via Sparse Representation: A Review
title_full_unstemmed	Robust Object Tracking System via Sparse Representation: A Review
title_sort	robust object tracking system via sparse representation: a review
publishDate	2014
url	http://umpir.ump.edu.my/id/eprint/7850/ http://umpir.ump.edu.my/id/eprint/7850/1/fkee-2014-syafawati-Robust_Object_Tracking.pdf
first_indexed	2023-09-18T22:04:55Z
last_indexed	2023-09-18T22:04:55Z
_version_	1777414643518537728

Robust Object Tracking System via Sparse Representation: A Review

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