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Proceedings Paper

Automatic pedestrian recognition in uncontrolled urban environment
Author(s): Patrick Vannoorenberghe; Cina Motamed; Jean-Marc Blosseville; Jack-Gerard Postaire
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Paper Abstract

This paper presents a real time system for automatic pedestrian recognition using image sequences analysis. We first introduce a robust motion detector of moving objects in an uncontrolled urban environment. This motion detector is based on the stability of the background structure. The verification of the presence of this background structure can be sufficient to detect intrusion (pedestrian, bus, car ...) in the surveillance area. The biggest advantage of this detector is that it is less influenced by illumination changes than other classical detection algorithms. The quality of the detection is improved when the background is high textured. The second step consists in the interpretation of this detection signal which allows us to separate pedestrians from other moving objects. The pedestrian discrimination process has been tested with real traffic image sequences. The percentage of good pedestrian discrimination is about 85%.

Paper Details

Date Published: 5 March 1996
PDF: 8 pages
Proc. SPIE 2661, Real-Time Imaging, (5 March 1996); doi: 10.1117/12.234651
Show Author Affiliations
Patrick Vannoorenberghe, Lab. d'Instrumentation du Signal Image et des Reseaux (France)
Cina Motamed, Lab. d'Instrumentation du Signal Image et des Reseaux (France)
Jean-Marc Blosseville, INRETS (France)
Jack-Gerard Postaire, Univ. des Sciences et Technologies de Lille (France)

Published in SPIE Proceedings Vol. 2661:
Real-Time Imaging
Phillip A. Laplante; Alexander D. Stoyenko; Divyendu Sinha, Editor(s)

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