Pedestrian recognition in far-infrared images by combining boosting-based detection and skeleton-based stochastic tracking

Authors:
Ryusuke Miyamoto;Hiroki Sugano;Hiroaki Saito;Hiroshi Tsutsui;Hiroyuki Ochi;Ken'ichi Hatanaka;Yukihiro Nakamura
Affiliations:
Dept. of Communications and Computer Engineering, Kyoto University, Kyoto, Japan;Dept. of Communications and Computer Engineering, Kyoto University, Kyoto, Japan;Sumitomo Electric Industries, Ltd., Osaka, Japan;Dept. of Communications and Computer Engineering, Kyoto University, Kyoto, Japan;Dept. of Communications and Computer Engineering, Kyoto University, Kyoto, Japan;Sumitomo Electric Industries, Ltd., Osaka, Japan;Dept. of Communications and Computer Engineering, Kyoto University, Kyoto, Japan
Venue:
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
Year:
2006

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Abstract

Nowadays, pedestrian recognition in far-infrared images toward realizing a night vision system becomes a hot topic. However, sufficient performance could not be achieved by conventional schemes for pedestrian recognition in far-infrared images. Since the properties of far-infrared images are different from visible images, it is not known what kind of scheme is suitable for pedestrian recognition in far-infrared images. In this paper, a novel pedestrian recognition scheme combining boosting-based detection and skeleton-based stochastic tracking suitable for recognition in far-infrared images is proposed. Experimental results by using far-infrared sequences show the proposed scheme achieves highly accurate pedestrian recognition by combining accurate detection with few false positives and accurate tracking.