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In this paper we investigate a vision-based pedestrian detection algorithm which can be used in the design of intelligent vehicle systems. The input to the algorithm is video data obtained from a camera mounted on the vehicle. In the proposed method, a wavelet transform is computed on the video frames, and multistage template matching is used to determine whether or not a pedestrian is present in the frame. Motion detection and localization is used to reduce the computational requirements. Experimental results are presented for several different video sequences. The results show that this method is able to reliably detect pedestrians in cluttered scenes.