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학술지 New Method for Face Gaze Detection in Smart Television
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저자
이원오, 김영곤, 신광용, Dat Tien Nguyen, 김기완, 박강령, 오천인
발행일
201405
출처
Optical Engineering, v.53 no.5, pp.1-12
ISSN
0091-3286
출판사
SPIE
DOI
https://dx.doi.org/10.1117/1.OE.53.5.053104
협약과제
13PR3500, Beyond 스마트 TV 기술 개발, 홍진우
초록
Recently, gaze detection-based interfaces have been regarded as the most natural user interface for use with smart televisions (TVs). Past research conducted on gaze detection primarily used near-infrared (NIR) cameras with NIR illuminators. However, these devices are difficult to use with smart TVs; therefore, there is an increasing need for gaze-detection technology that utilizes conventional (visible light) web cameras. Consequently, we propose a new gaze-detection method using a conventional (visible light) web camera. The proposed approach is innovative in the following three ways. First, using user-dependent facial information obtained in an initial calibration stage, an accurate head pose is calculated. Second, using theoretical and generalized models of changes in facial feature positions, horizontal and vertical head poses are calculated. Third, accurate gaze positions on a smart TV can be obtained based on the user-dependent calibration information and the calculated head poses by using a low-cost conventional web camera without an additional device for measuring the distance from the camera to the user. Experimental results indicate that the gaze-detection accuracy of our method on a 60-in. smart TV is 90.5%. © The Authors.
키워드
facial feature position, gaze detection, head pose, smart television, web camera
KSP 제안 키워드
Detection Method, Detection accuracy, Detection technology, Generalized Model, Head pose, Low-cost, Natural user interface(NUI), Near-Infrared(NIR), Visible Light, Web Camera, facial features