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A hybrid technique for face detection in color images
Cooray, Saman H.; O'Connor, Noel E.
In this paper, a hybrid technique for face detection in color images is presented. The proposed technique combines three analysis models, namely skin detection, automatic eye localization, and appearance-based face/nonface classification. Using a robust histogram-based skin detection model, skin-like pixels are first identified in the RGB color space. Based on this, face bounding-boxes are extracted from the image. On detecting a face bounding-box, approximate positions of the candidate mouth feature points are identified using the redness property of image pixels. A region-based eye localization step, based on the detected mouth feature points, is then applied to face bounding-boxes to locate possible eye feature points in the image. Based on the distance between the detected eye feature points, face/non-face classification is performed over a normalized search area using the Bayesian discriminating feature (BDF) analysis method. Some subjective evaluation results are presented on images taken using digital cameras and a Webcam, representing both indoor and outdoor scenes.
Keyword(s): Digital video; Information retrieval; Image processing; Bayes methods; face recognition; feature extraction; image colour analysis; image sequences; object detection
Publication Date:
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): Cooray, Saman H. and O'Connor, Noel E. ORCID: 0000-0002-4033-9135 <> (2005) A hybrid technique for face detection in color images. In: AVSS 2005 - International Conference on Advanced Video and Signal based Surveillance, 15-16 September 2005, Como, Italy.
Publisher(s): Institute of Electrical and Electronics Engineers
File Format(s): application/pdf
Related Link(s):,
First Indexed: 2009-11-05 02:00:26 Last Updated: 2019-02-09 07:04:53