The Research and Application of Visual Saliency and Adaptive Support Vector Machine in Target Tracking Field
Joint Authors
Gao, Shangbing
Chen, Yuantao
Xu, Weihong
Kuang, Fangjun
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-02
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The efficient target tracking algorithm researches have become current research focus of intelligent robots.
The main problems of target tracking process in mobile robot face environmental uncertainty.
They are very difficult to estimate the target states, illumination change, target shape changes, complex backgrounds, and other factors and all affect the occlusion in tracking robustness.
To further improve the target tracking’s accuracy and reliability, we present a novel target tracking algorithm to use visual saliency and adaptive support vector machine (ASVM).
Furthermore, the paper’s algorithm has been based on the mixture saliency of image features.
These features include color, brightness, and sport feature.
The execution process used visual saliency features and those common characteristics have been expressed as the target’s saliency.
Numerous experiments demonstrate the effectiveness and timeliness of the proposed target tracking algorithm in video sequences where the target objects undergo large changes in pose, scale, and illumination.
American Psychological Association (APA)
Chen, Yuantao& Xu, Weihong& Kuang, Fangjun& Gao, Shangbing. 2013. The Research and Application of Visual Saliency and Adaptive Support Vector Machine in Target Tracking Field. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-508586
Modern Language Association (MLA)
Chen, Yuantao…[et al.]. The Research and Application of Visual Saliency and Adaptive Support Vector Machine in Target Tracking Field. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-508586
American Medical Association (AMA)
Chen, Yuantao& Xu, Weihong& Kuang, Fangjun& Gao, Shangbing. The Research and Application of Visual Saliency and Adaptive Support Vector Machine in Target Tracking Field. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-508586
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-508586