Target Contour Recovering for Tracking People in Complex Environments
Joint Authors
Liu, Sheng
Zhang, Jianwei
Li, Y. F.
Zhang, Jianhua
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-10-24
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Recovering people contours from partial occlusion is a challenging problem in a visual tracking system.
Partial occlusions would bring about unreasonable contour changes of the target object.
In this paper, a novel method is presented to detect partial occlusion on people contours and recover occluded portions.
Unlike other occlusion detection methods, the proposed method is only based on contours, which makes itself more flexible to be extended for further applications.
Experiments with synthetic images demonstrate the accuracy of the method for detecting partial occlusions, and experiments on real-world video sequence are also carried out to prove that the method is also good enough to be used to recover target contours.
American Psychological Association (APA)
Zhang, Jianhua& Liu, Sheng& Li, Y. F.& Zhang, Jianwei. 2011. Target Contour Recovering for Tracking People in Complex Environments. Computational and Mathematical Methods in Medicine،Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-477093
Modern Language Association (MLA)
Zhang, Jianhua…[et al.]. Target Contour Recovering for Tracking People in Complex Environments. Computational and Mathematical Methods in Medicine No. 2012 (2012), pp.1-10.
https://search.emarefa.net/detail/BIM-477093
American Medical Association (AMA)
Zhang, Jianhua& Liu, Sheng& Li, Y. F.& Zhang, Jianwei. Target Contour Recovering for Tracking People in Complex Environments. Computational and Mathematical Methods in Medicine. 2011. Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-477093
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-477093