A simple and effective real-time eyes detection human detection without training procedure

Authors:
Ching-Tang Hsieh;Eugene Lai;Chi-Liang Shen;Yeh-Kuang Wu
Affiliations:
Department of Electrical Engineering, Tamkang University, Tamsui, Taiwan, R.O.C.;Department of Electrical Engineering, Tamkang University, Tamsui, Taiwan, R.O.C.;Department of Electrical Engineering, Tamkang University, Tamsui, Taiwan, R.O.C.;Department of Electrical Engineering, Tamkang University, Tamsui, Taiwan, R.O.C.
Venue:
SSIP'06 Proceedings of the 6th WSEAS International Conference on Signal, Speech and Image Processing
Year:
2006

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Abstract

An effective and real-time eyes detection system based on the symmetric and geometric relationships of human-eyes region in gray-level images is presented. In order to reduce the search effort and eliminate the noise impact, we first perform the edge processing with Sobel filter. We then make use of the characteristics of symmetric relationship of human-eyes region to find out the possible regions of human eyes. Moreover, we use the geometric characteristic of human-eyes region to preliminarily exclude the region without eyes and reach the locations of possible eyes regions as quickly as we can,. Finally, to merge all possible regions with eyes into one and to exclude the regions without human eyes effectively, the eyes verification process is also proceeded. The superior performance of the eyes detection of the proposed method is justified in experiments on a large number of images. The demonstration of our work is available at: http://www.ee.tku.edu.tw/~dsp/tkufd