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Abstract and Applied Analysis
Volume 2014 (2014), Article ID 147353, 12 pages
http://dx.doi.org/10.1155/2014/147353
Research Article

Low-Rank Representation-Based Object Tracking Using Multitask Feature Learning with Joint Sparsity

Department of Image, Chung-Ang University, Seoul 156-756, Republic of Korea

Received 13 August 2014; Revised 7 November 2014; Accepted 7 November 2014; Published 23 November 2014

Academic Editor: Sergei V. Pereverzyev

Copyright © 2014 Hyuncheol Kim and Joonki Paik. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Hyuncheol Kim and Joonki Paik, “Low-Rank Representation-Based Object Tracking Using Multitask Feature Learning with Joint Sparsity,” Abstract and Applied Analysis, vol. 2014, Article ID 147353, 12 pages, 2014. doi:10.1155/2014/147353