Feature Selection Tracking Algorithm Based on Sparse Representation
Joint Authors
Yao, Qing-He
Lou, Hui-dong
Li, Wei-guang
Hou, Yue-en
Ye, Guo-qiang
Wan, Hao
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-20
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
In order to enhance the robustness of visual tracking algorithm in complex environment, a novel visual tracking algorithm based on multifeature selection and sparse representation is proposed.
In the framework of particles filter, particles with low target similarity are first filtered out by a fast algorithm; then, based on the principle of sparsely reconstructing the sample label, the features with high differentiation against the background are involved in the computation so as to reduce the disturbance of occlusions and noises.
Finally, candidate targets are linearly reconstructed via sparse representation and the sparse equation is solved by using APG method to obtain the state of the target.
Four comparative experiments demonstrate that the proposed algorithm in this paper has effectively improved the robustness of the target tracking algorithm.
American Psychological Association (APA)
Lou, Hui-dong& Li, Wei-guang& Hou, Yue-en& Yao, Qing-He& Ye, Guo-qiang& Wan, Hao. 2015. Feature Selection Tracking Algorithm Based on Sparse Representation. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1074458
Modern Language Association (MLA)
Lou, Hui-dong…[et al.]. Feature Selection Tracking Algorithm Based on Sparse Representation. Mathematical Problems in Engineering No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1074458
American Medical Association (AMA)
Lou, Hui-dong& Li, Wei-guang& Hou, Yue-en& Yao, Qing-He& Ye, Guo-qiang& Wan, Hao. Feature Selection Tracking Algorithm Based on Sparse Representation. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1074458
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074458