Pedestrian detection using hybrid statistical feature

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Conference Proceeding
Proceedings of the 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008, 2008, pp. 101 - 106
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A novel approach for walking people detection is proposed in this paper, which is inspired by the idea of Gait Energy Image (GEI). Unlike most of common human detection methods where usually a trained detector scans a single image and then generates a detection result, the proposed method detects people on a sequence of silhouettes which contain both appearance characteristics and motion characteristics. Thus, our method is more robust. Encouraging experimental results are obtained based on CASIA Gait Database and the additional nonhuman objects data. © 2008 IEEE.
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