Improved Adaptive Vibe and the Application for Segmentation of Complex Background
Joint Authors
Ren, Yan
Chang, Le
Liu, Zhenghua
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-05-11
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
To solve the problems that basic Vibe algorithm cannot effectively eliminate the influence of background noise, follower shadow, and ghost under complex background effectively, an adaptive threshold algorithm, AdaVibe, based on the framework of basic Vibe is proposed.
Aiming at the shortage of the basic algorithm, this paper puts forward some improvement measures in threshold setting, shadow eliminating, and ghost suppression.
Firstly, judgment threshold takes adjustment with the changes of background.
Secondly, a fast eliminating ghost algorithm depending on adaptive threshold is introduced.
Finally, follower shadow is detected and inhibited effectively through the gray properties and texture characteristics.
Experiments show that the proposed AdaVibe algorithm works well in complex environment without affecting computing speed and has stronger robustness and better adaptability than the basic algorithm.
Meanwhile, the ghost and follower shadow can be absorbed quickly as well.
Therefore, the accuracy of target detection is effectively improved.
American Psychological Association (APA)
Chang, Le& Liu, Zhenghua& Ren, Yan. 2016. Improved Adaptive Vibe and the Application for Segmentation of Complex Background. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1112096
Modern Language Association (MLA)
Chang, Le…[et al.]. Improved Adaptive Vibe and the Application for Segmentation of Complex Background. Mathematical Problems in Engineering No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1112096
American Medical Association (AMA)
Chang, Le& Liu, Zhenghua& Ren, Yan. Improved Adaptive Vibe and the Application for Segmentation of Complex Background. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1112096
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112096