Real-time face and head detection using four directional features

Authors:
Yohei Ishii;Hitoshi Hongo;Kazuhiko Yamamoto;Yoshinori Niwa
Affiliations:
HOIP Softopia Japan, JST;HOIP Softopia Japan, JST;Faculty of Engineering, Gifu University;HOIP Softopia Japan, JST
Venue:
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Year:
2004

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Abstract

Real-time human detection is an important part in a surveillance system using computer vision. In this paper, a real-time face and head detection method is proposed for such human detection. The method has an advantage of detecting peoples who are not facing a camera, by detecting their heads. It employs four directional features (FDF) and linear discriminant analysis in order to save computation cost for scanning and classification. Since FDF represents edge directional information in low resolution, it is resistive to changes in lighting conditions and scales. The proposed method was evaluated through an experiment using 26 video scenes. The results of experiment were 83.6% (46/55) for human detection rate, and 84.6% (1048/1239) for reliability of detection. The human detection system implemented with the proposed method runs on a PC at approximately over 10fps for VGA input with motion detection.