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Advances in Pattern Recognition
Augmented Vision Perception in Infrared
Algorithms and Applied Systems
10.1007/978-1-84800-277-7_16
Riad I. Hammoud
16. Multi Stereo-Based Pedestrian Detection by Daylight and Far-Infrared Cameras

Massimo BertozziContact Information, Alberto BroggiContact Information, Mirko FelisaContact Information, Stefano GhidoniContact Information, Paolo GrisleriContact Information, Guido VezzoniContact Information, Cristina Hilario GómezContact Information and Mike Del RoseContact Information

(3)  Vision Laboratory, University of Parma, Italy
(4)  Universidad Carlos III de Madrid, Spain
(5)  U.S.Army TARDEC, Warren, MI, U.S.A.
Abstract
This chapter presents a tetravision (4-camera) system for the detection of pedestrians by means of the simultaneous use of two far infrared and visible camera stereo pairs. The main idea is to exploit the advantages of both far infrared and visible cameras to develop a system that combines the advantages of using far infrared or daylight technologies. Different approaches are used to process the two stereo flows in an independent fashion to produce a list of areas of attention that potentially contain pedestrians. Then, four different following approaches are used to refine and filter this list and to validate the presence of a pedestrian. Preliminary results show that the combined use of two vision systems as well as the use of different and independent validation steps enable the system to effectively detect pedestrians in different conditions of illumination and background.

Contact Information Massimo Bertozzi
Email: bertozzi@vislab.it

Contact Information Alberto Broggi
Email: broggi@vislab.it

Contact Information Mirko Felisa
Email: felisa@vislab.it

Contact Information Stefano Ghidoni
Email: ghidoni@vislab.it

Contact Information Paolo Grisleri
Email: grisleri@vislab.it

Contact Information Guido Vezzoni
Email: vezzoni@vislab.it

Contact Information Cristina Hilario Gómez
Email: chilario@ing.uc3m.es

Contact Information Mike Del Rose
Email: mike.delrose@us.army.mil
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