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Abstract: This paper presents the method for detecting pedestrian recently implemented on the ARGO vehicle. The perception of the environment is performed through the sole processing of images acquired from a vision system installed on board of the vehicle: the analysis of a monocular image delivers a first coarse detection, while a distance refinement is performed thanks to a stereo vision technique. 1 Introduction For an on-board vision system to be able to assist the driver not only during motorway... (Update)
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BibTeX entry: (Update)
A. Broggi, M. Bertozzi, A. Fascioli, and M. Sechi, \Shape-based pedestrian detection," in Proc. of IV- http://citeseer.ist.psu.edu/broggi00shapebased.html More
@misc{ broggi-shapebased,
author = "A. Broggi and M. Bertozzi and A. Fascioli and M. Sechi",
title = "Shape-based pedestrian detection",
text = "A. Broggi, M. Bertozzi, A. Fascioli, and M. Sechi, \Shape-based pedestrian
detection, in Proc. of IV-",
url = "citeseer.ist.psu.edu/broggi00shapebased.html" }
Citations (may not include all citations):106 Towards Model-based Recognition of Human Movements in Image .. (context) - Rohr - 1994
22 Stereo- and Neural Network-based Pedestrian Detection - Zhao, Thorpe - 1999
19 Automatic Vehicle Guidance: the Experience of the ARGO Vehic.. (context) - Broggi, Bertozzi et al. - 1999
17 Walking Pedestrian Recognition (context) - Curio, Edelbrunner et al. - 1999
13 A Trainable Pedestrian Detection System - Papageorgiou, Evgeniou et al. - 1998
3 A Time Delay Neural Network Algorithm for Real-time Pedestri.. (context) - ohler, Aulaf et al. - 1998
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