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Multi-Layer Multi-Feature Background Subtraction Using Codebook Model Framework

Title
Multi-Layer Multi-Feature Background Subtraction Using Codebook Model Framework
Author
김회율
Keywords
Background sutraction; codebook model; local binary pattern; dynamic background; illumination changes
Issue Date
2016-01
Publisher
International scholarly and scientific research & innovation
Citation
International Journal of Computer and Information Engineering, v. 10, Page. 63-67
Abstract
Background modeling and subtraction in video analysis has been widely used as an effective method for moving objects detection in many computer vision applications. Recently, a large number of approaches have been developed to tackle different types of challenges in this field. However, the dynamic background and illumination variations are the most frequently occurred problems in the practical situation. This paper presents a favorable two-layer model based on codebook algorithm incorporated with local binary pattern (LBP) texture measure, targeted for handling dynamic background and illumination variation problems. More specifically, the first layer is designed by block-based codebook combining with LBP histogram and mean value of each RGB color channel. Because of the invariance of the LBP features with respect to monotonic gray-scale changes, this layer can produce block wise detection results with considerable tolerance of illumination variations. The pixel-based codebook is employed to reinforce the precision from the output of the first layer which is to eliminate false positives further. As a result, the proposed approach can greatly promote the accuracy under the circumstances of dynamic background and illumination changes. Experimental results on several popular background subtraction datasets demonstrate very competitive performance compared to previous models.
URI
https://waset.org/Publication/multi-layer-multi-feature-background-subtraction-using-codebook-model-framework/10003227http://hdl.handle.net/20.500.11754/30596
ISSN
2279-0764
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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