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

D. Wang, Jinchang Ren, J. Jiang , S. Ipson

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

9 Citations (Scopus)

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.
LanguageEnglish
Title of host publicationCommunications in Computer and Information Science
PublisherSpringer
Pages487-494
Number of pages8
Volume15
Edition14
DOIs
Publication statusPublished - 2008
EventAdvanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques 4th International Conference on Intelligent Computing - Shanghai, China
Duration: 15 Sep 200818 Sep 2008

Publication series

NameCommunications in Computer and Information Science
ISSN (Print)1865-0929

Conference

ConferenceAdvanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques 4th International Conference on Intelligent Computing
CountryChina
CityShanghai
Period15/09/0818/09/08

Fingerprint

Face recognition
Skin
Color
Lighting
Pixels
Boundary conditions

Keywords

  • skin detection
  • face detection
  • performance evaluation

Cite this

Wang, D., Ren, J., Jiang , J., & Ipson, S. (2008). Skin detection from different color spaces for model-based face detection. In Communications in Computer and Information Science (14 ed., Vol. 15, pp. 487-494). (Communications in Computer and Information Science). Springer. https://doi.org/10.1007/978-3-540-85930-7_62
Wang, D. ; Ren, Jinchang ; Jiang , J. ; Ipson, S. / Skin detection from different color spaces for model-based face detection. Communications in Computer and Information Science. Vol. 15 14. ed. Springer, 2008. pp. 487-494 (Communications in Computer and Information Science).
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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.",
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Wang, D, Ren, J, Jiang , J & Ipson, S 2008, Skin detection from different color spaces for model-based face detection. in Communications in Computer and Information Science. 14 edn, vol. 15, Communications in Computer and Information Science, Springer, pp. 487-494, Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques 4th International Conference on Intelligent Computing, Shanghai, China, 15/09/08. https://doi.org/10.1007/978-3-540-85930-7_62

Skin detection from different color spaces for model-based face detection. / Wang, D.; Ren, Jinchang; Jiang , J.; Ipson, S.

Communications in Computer and Information Science. Vol. 15 14. ed. Springer, 2008. p. 487-494 (Communications in Computer and Information Science).

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

TY - GEN

T1 - Skin detection from different color spaces for model-based face detection

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AU - Ren, Jinchang

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AU - Ipson, S.

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AB - 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.

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