Title :
An adaptive template eye location based on Gabor transform method using web camera
Author :
Jing, Zhang ; Zhixing, Liu ; Li, Zhuo
Author_Institution :
Signal & Inf. Process. Lab., Beijing Univ. of Technol., Beijing, China
Abstract :
An adaptive template matching method for human eye location is proposed by using ordinary web camera. Face video is captured by using an ordinary web camera. The face region is firstly detected by applying face detection algorithm based on Haar-like feature. The pupil position in human face frame is determined based on Gabor transform eye location method, which is used as an initial eye template. The following eyes are located by matching the pupil in previous frame as adaptive template. Experimental results show that the proposed eye location method is more accuracy than the traditional eye template matching method.
Keywords :
Haar transforms; cameras; human computer interaction; image matching; object detection; Gabor transform method; Haar-like feature; Web camera; adaptive template; adaptive template eye location; adaptive template matching method; eye template matching method; face detection algorithm; face video; human eye location; human-computer interaction; Bandwidth; Cameras; Decision trees; Eyes; Face detection; Face recognition; Humans; Image recognition; Neural networks; Pattern recognition; Gabor transform; adaptive template matching; eye location; human-computer interaction; web camera;
Conference_Titel :
Computer Design and Applications (ICCDA), 2010 International Conference on
Conference_Location :
Qinhuangdao
Print_ISBN :
978-1-4244-7164-5
Electronic_ISBN :
978-1-4244-7164-5
DOI :
10.1109/ICCDA.2010.5541444
