Visual Object Tracking Based on 2DPCA and ML
Joint Authors
Jiang, Ming-Xin
Li, Min
Wang, Hong-Yu
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-07-01
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
We present a novel visual object tracking algorithm based on two-dimensional principal component analysis (2DPCA) and maximum likelihood estimation (MLE).
Firstly, we introduce regularization into the 2DPCA reconstruction and develop an iterative algorithm to represent an object by 2DPCA bases.
Secondly, the model of sparsity constrained MLE is established.
Abnormal pixels in the samples will be assigned with low weights to reduce their effects on the tracking algorithm.
The object tracking results are obtained by using Bayesian maximum a posteriori (MAP) probability estimation.
Finally, to further reduce tracking drift, we employ a template update strategy which combines incremental subspace learning and the error matrix.
This strategy adapts the template to the appearance change of the target and reduces the influence of the occluded target template as well.
Compared with other popular methods, our method reduces the computational complexity and is very robust to abnormal changes.
Both qualitative and quantitative evaluations on challenging image sequences demonstrate that the proposed tracking algorithm achieves more favorable performance than several state-of-the-art methods.
American Psychological Association (APA)
Jiang, Ming-Xin& Li, Min& Wang, Hong-Yu. 2013. Visual Object Tracking Based on 2DPCA and ML. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1031860
Modern Language Association (MLA)
Jiang, Ming-Xin…[et al.]. Visual Object Tracking Based on 2DPCA and ML. Mathematical Problems in Engineering No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-1031860
American Medical Association (AMA)
Jiang, Ming-Xin& Li, Min& Wang, Hong-Yu. Visual Object Tracking Based on 2DPCA and ML. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1031860
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1031860