Object Tracking via 2DPCA and l2-Regularization
Joint Authors
Wang, Haijun
Ge, Hongjuan
Zhang, Shengyan
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-08-10
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
We present a fast and robust object tracking algorithm by using 2DPCA and l2-regularization in a Bayesian inference framework.
Firstly, we model the challenging appearance of the tracked object using 2DPCA bases, which exploit the strength of subspace representation.
Secondly, we adopt the l2-regularization to solve the proposed presentation model and remove the trivial templates from the sparse tracking method which can provide a more fast tracking performance.
Finally, we present a novel likelihood function that considers the reconstruction error, which is concluded from the orthogonal left-projection matrix and the orthogonal right-projection matrix.
Experimental results on several challenging image sequences demonstrate that the proposed method can achieve more favorable performance against state-of-the-art tracking algorithms.
American Psychological Association (APA)
Wang, Haijun& Ge, Hongjuan& Zhang, Shengyan. 2016. Object Tracking via 2DPCA and l2-Regularization. Journal of Electrical and Computer Engineering،Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1108482
Modern Language Association (MLA)
Wang, Haijun…[et al.]. Object Tracking via 2DPCA and l2-Regularization. Journal of Electrical and Computer Engineering No. 2016 (2016), pp.1-7.
https://search.emarefa.net/detail/BIM-1108482
American Medical Association (AMA)
Wang, Haijun& Ge, Hongjuan& Zhang, Shengyan. Object Tracking via 2DPCA and l2-Regularization. Journal of Electrical and Computer Engineering. 2016. Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1108482
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1108482