Title :
Shape-based pedestrian detection
Author :
Broggi, A. ; Bertozzi, M. ; Fascioli, A. ; Sechi, M.
Author_Institution :
Dipartimento di Inf. e Sistemistica, Pavia Univ., Italy
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 using the stereo vision technique
Keywords :
computer vision; object recognition; road vehicles; stereo image processing; ARGO vehicle; computer vision; monocular image; pedestrian detection; road vehicles; shape recognition; stereo vision; Legged locomotion; Machine vision; Neural networks; Object detection; Remotely operated vehicles; Road safety; Road vehicles; Shape; Stereo vision; Vehicle detection;
Conference_Titel :
Intelligent Vehicles Symposium, 2000. IV 2000. Proceedings of the IEEE
Conference_Location :
Dearborn, MI
Print_ISBN :
0-7803-6363-9
DOI :
10.1109/IVS.2000.898344