Skin detection from different color spaces for model-based face detection

Tools

Wang, D. and Ren, Jinchang and Jiang, J. and Ipson, S.; (2008) Skin detection from different color spaces for model-based face detection. In: Communications in Computer and Information Science. Communications in Computer and Information Science, 15 (14). Springer, CHN, pp. 487-494. (https://doi.org/10.1007/978-3-540-85930-7_62)

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Abstract

Skin and face detection has many important applications in intelligent human-machine interfaces, reliable video surveillance and visual understanding of human activities. In this paper, we propose an efficient and effective method for frontal-view face detection based on skin detection and knowledge-based modeling. Firstly, skin pixels are modeled by using supervised training, and boundary conditions are then extracted for skin segmentation. Faces are further detected by shape filtering and knowledge-based modeling. Skin results from different color spaces are compared. In addition, experimental results have demonstrated our method robust in successful detection of skin and face regions even with variant lighting conditions and poses.

ORCID iDs

Wang, D., Ren, Jinchang ORCID logoORCID: https://orcid.org/0000-0001-6116-3194, Jiang, J. and Ipson, S.;
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