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A hybrid technique for face detection in color images

Cooray, Saman H. and O'Connor, Noel E. (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.

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Abstract

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.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Bayes methods; face recognition; feature extraction; image colour analysis; image sequences; object detection;
Subjects:Computer Science > Digital video
Computer Science > Information retrieval
Computer Science > Image processing
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Publisher:Institute of Electrical and Electronics Engineers
Official URL:http://dx.doi.org/10.1109/AVSS.2005.1577276
Copyright Information:Copyright © 2005 IEEE. Reprinted from AVSS 2005 - International Conference on Advanced Video and Signal based Surveillance. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Dublin City University's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
Funders:Enterprise Ireland, Science Foundation Ireland, SFI 03/IN.3/I361
ID Code:235
Deposited On:05 Mar 2008 by DORAS Administrator. Last Modified 05 May 2010 16:07

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