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Development of Tracking Equipment for Real­Time Multiple Face Detection  

나상동 (조선대학교 컴퓨터공학부)
송선희 (조선대학교 컴퓨터공학부)
나하선 (Univ. Colorado at Boulder 전자, 컴퓨터공학과)
김천석 (여수대학교 전자통신공학과)
배철수 (관동대학교 정보통신공학부)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.7, no.8, 2003 , pp. 1823-1830 More about this Journal
Abstract
This paper presents a multiple face detector based on a robust pupil detection technique. The pupil detector uses active illumination that exploits the retro­reflectivity property of eyes to facilitate detection. The detection range of this method is appropriate for interactive desktop and kiosk applications. Once the location of the pupil candidates are computed, the candidates are filtered and grouped into pairs that correspond to faces using heuristic rules. To demonstrate the robustness of the face detection technique, a dual mode face tracker was developed, which is initialized with the most salient detected face. Recursive estimators are used to guarantee the stability of the process and combine the measurements from the multi­face detector and a feature correlation tracker. The estimated position of the face is used to control a pan­tilt servo mechanism in real­time, that moves the camera to keep the tracked face always centered in the image.
Keywords
Face Detection; Pupil Detection; Face Tracking; Active Illumination;
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