Shape-based pedestrian detection

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.

[1]  Liang Zhao,et al.  Stereo- and neural network-based pedestrian detection , 2000, IEEE Trans. Intell. Transp. Syst..

[2]  K. Rohr.  Towards model-based recognition of human movements in image sequences , 1994 .

[3]  Massimo Bertozzi,et al.  Architectural Issues on Vision-Based Automatic Vehicle Guidance: The Experience of the ARGO Project , 2000, Real Time Imaging.

[4]  Theodoros Evgeniou,et al.  A TRAINABLE PEDESTRIAN DETECTION SYSTEM , 1998 .

[5]  W. von Seelen,et al.  Walking pedestrian recognition , 1999, Proceedings 199 IEEE/IEEJ/JSAI International Conference on Intelligent Transportation Systems (Cat. No.99TH8383).