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Just-in-time outdoor color discrimination using adaptive similarity-based classifier


Citation

Sojodishijani, Omid and Ramli, Abd Rahman and Rostami, Vahid and Samsudin, Khairulmizam and Saripan, Mohd Iqbal (2010) Just-in-time outdoor color discrimination using adaptive similarity-based classifier. IEICE Electronics Express, 7 (5). pp. 339-345. ISSN 1349-2543

Abstract / Synopsis

The color recognition and identification in operation time is a critical task in color-based computer vision applications. The main problem for recognizing the real color arises when the color characteristics are changed dynamically in the life time of a system. The outdoor color models which have been addressed by some researchers have serious practical limitations to employ in real applications. Moreover, due to high fluctuations in environment illumination, using conventional classifier for discriminating colors is a complicated task. In this paper, a just-in-time and model-free solution in order to discriminate outdoor colors on data driven modality is proposed. For this purpose, adaptive similarity-based classifier is utilized to track the color's data evolution during a day.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
Publisher: The Institute of Electronics, Information and Communication Engineers
Keywords: Model-free outdoor color constancy, adaptive similarity-based classification, Non-stationarity tracking
Depositing User: Anas Yahaya
Date Deposited: 31 Mar 2011 10:18
Last Modified: 31 Mar 2011 10:20
URI: http://psasir.upm.edu.my/id/eprint/11431
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