Citation
Abstract
Skin detection has gained popularity and importance in the computer vision community. It is an essential step for important vision tasks such as the detection, tracking and recognition of face, segmentation of hand for gesture analysis, person identification, as well as video surveillance and filtering of objectionable web images. All these applications are based on the assumption that the regions of the human skin are already located. In the recent past, numerous techniques for skin colour modeling and recognition have been proposed. The aims of this paper are to compile the published pixel-based skin colour detection techniques to describe their key concepts and try to find out and summarize their advantages, disadvantages and characteristic features.
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Additional Metadata
Item Type: | Article |
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Divisions: | Faculty of Engineering |
Publisher: | Universiti Putra Malaysia Press |
Keywords: | Skin colour detection; Computer vision community; Pixel-based methods |
Depositing User: | Noor Syafini Zamani |
Date Deposited: | 20 Nov 2015 01:57 |
Last Modified: | 20 Nov 2015 01:57 |
URI: | http://psasir.upm.edu.my/id/eprint/40535 |
Statistic Details: | View Download Statistic |
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