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Face Detection System Based on Candidate Extraction through Segmentation of Skin Area and Partial Face Classifier  

Kim, Sung-Hoon (Dept. of Computer Engineering Kyunghee University)
Lee, Hyon-Soo (Dept. of Computer Engineering Kyunghee University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.47, no.2, 2010 , pp. 11-20 More about this Journal
Abstract
In this paper we propose a face detection system which consists of a method of face candidate extraction using skin color and a method of face verification using the feature of facial structure. Firstly, the proposed extraction method of face candidate uses the image segmentation and merging algorithm in the regions of skin color and the neighboring regions of skin color. These two algorithms make it possible to select the face candidates from the variety of faces in the image with complicated backgrounds. Secondly, by using the partial face classifier, the proposed face validation method verifies the feature of face structure and then classifies face and non-face. This classifier uses face images only in the learning process and does not consider non-face images in order to use less number of training images. In the experimental, the proposed method of face candidate extraction can find more 9.55% faces on average as face candidates than other methods. Also in the experiment of face and non-face classification, the proposed face validation method obtains the face classification rate on the average 4.97% higher than other face/non-face classifiers when the non-face classification rate is about 99%.
Keywords
얼굴 검출;얼굴 후보 검출;부분 얼굴 분류기;
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Times Cited By KSCI : 1  (Citation Analysis)
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