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Visual Tracking via Feature Tensor Multimanifold Discriminate Analysis
Joint Authors
Deng, Ting-quan
Dai, Jia-shu
Dong, Tian-zhen
Yi, Ke-jia
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-11-06
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
In the visual tracking scenarios, if there are multiple objects, due to the interference of similar objects, tracking may fail in the progress of occlusion to separation.
To address this problem, this paper proposed a visual tracking algorithm with discrimination through multimanifold learning.
Color-gradient-based feature tensor was used to describe object appearance for accommodation of partial occlusion.
A prior multimanifold tensor dataset is established through the template matching tracking algorithm.
For the purpose of discrimination, tensor distance was defined to determine the intramanifold and intermanifold neighborhood relationship in multimanifold space.
Then multimanifold discriminate analysis was employed to construct multilinear projection matrices of submanifolds.
Finally, object states were obtained by combining with sequence inference.
Meanwhile, the multimanifold dataset and manifold learning embedded projection should be updated online.
Experiments were conducted on two real visual surveillance sequences to evaluate the proposed algorithm with three state-of-the-art tracking methods qualitatively and quantitatively.
Experimental results show that the proposed algorithm can achieve effective and robust effect in multi-similar-object mutual occlusion scenarios.
American Psychological Association (APA)
Deng, Ting-quan& Dai, Jia-shu& Dong, Tian-zhen& Yi, Ke-jia. 2014. Visual Tracking via Feature Tensor Multimanifold Discriminate Analysis. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1046467
Modern Language Association (MLA)
Deng, Ting-quan…[et al.]. Visual Tracking via Feature Tensor Multimanifold Discriminate Analysis. Mathematical Problems in Engineering No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-1046467
American Medical Association (AMA)
Deng, Ting-quan& Dai, Jia-shu& Dong, Tian-zhen& Yi, Ke-jia. Visual Tracking via Feature Tensor Multimanifold Discriminate Analysis. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1046467
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1046467