Lee Jea Jun, Choi Jung Il, Lee Phill Kyu

The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 4, No. 12, pp. 3210-3217, Dec. 1997
10.3745/KIPSTE.1997.4.12.3210,   PDF Download:

Abstract

This paper addresses an eye location algorithm which is essential process of human face tracking system for natural video-conferencing. In current video-conferencing systems, user's facial movements are restricted by fixed camera, therefore it is inconvenient to users. We propose an eye location algorithm for automatic face tracking. Because, locations of other facial features guessed from locations of eye and scale of face in the image can be calculated using inter-ocular distance. Most previous feature extraction methods for face recognition system are approached under ssumption that approximative face region or location of each facial feature is known. The proposed algorithm in this paper uses no prior information on the given image. It is not sensitive to backgrounds and lighting conditions. The proposed algorithm uses the valley representation as major information to locate eyes. The experiments have been performed for 213 frames of 17 people and show very encouraging results.

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