Title of article :
Pixel-Based Skin Colour Detection Teclmiques Evaluation
Author/Authors :
Mharib, Ahmed M. Universiti Putra Malaysia - Faculty of Engineering - Departments of Computer and Communication Systems Engineering, Malaysia , Marhaban, Mohammad Hamiruce Universiti Putra Malaysia - Faculty of Engineering - Electrical and Electronic Engineering, Malaysia , Ramli, Abdul Rahman Universiti Putra Malaysia - Faculty of Engineering - Departments of Computer and Communication Systems Engineering, Malaysia
From page :
131
To page :
137
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.
Keywords :
Skin colour detection , computer vision community , pixel , based methods
Journal title :
Pertanika Journal of Science and Technology ( JST)
Journal title :
Pertanika Journal of Science and Technology ( JST)
Record number :
2562443
Link To Document :
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