Detection of Moving Objects with Fuzzy Color Coherence Vector
Joint Authors
Song, Chun-Yan
Qiao, Yu-Long
Xiang, Xue-Zhi
Yuan, Kai-Long
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-13
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Background subtraction is a popular method for detecting foreground that is widely adopted as the fundamental processing for advanced applications such as tracking and surveillance.
Color coherence vector (CCV) includes both the color distribution information (histogram) and the local spatial relationship information of colors.
So it overcomes the weakness of the conventional color histogram for the representation of an object.
In this paper, we introduce a fuzzy color coherence vector (FCCV) based background subtraction method.
After applying the fuzzy c-means clustering to color coherence subvectors and color incoherence subvectors, we develop a region-based fuzzy statistical feature for each pixel based on the fuzzy membership matrices.
The features are extracted from consecutive frames to build the background model and detect the moving objects.
The experimental results demonstrate the effectiveness of the proposed approach.
American Psychological Association (APA)
Qiao, Yu-Long& Yuan, Kai-Long& Song, Chun-Yan& Xiang, Xue-Zhi. 2014. Detection of Moving Objects with Fuzzy Color Coherence Vector. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-448711
Modern Language Association (MLA)
Qiao, Yu-Long…[et al.]. Detection of Moving Objects with Fuzzy Color Coherence Vector. Mathematical Problems in Engineering No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-448711
American Medical Association (AMA)
Qiao, Yu-Long& Yuan, Kai-Long& Song, Chun-Yan& Xiang, Xue-Zhi. Detection of Moving Objects with Fuzzy Color Coherence Vector. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-448711
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-448711