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Multi Stereo-Based Pedestrian Detection by Daylight and Far-Infrared Cameras
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| Advances in Pattern Recognition |
Augmented Vision Perception in Infrared Algorithms and Applied Systems
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| 10.1007/978-1-84800-277-7_16 |
| Riad I. Hammoud |
16. Multi Stereo-Based Pedestrian Detection by Daylight and Far-Infrared Cameras
Massimo Bertozzi3 , Alberto Broggi3 , Mirko Felisa3 , Stefano Ghidoni3 , Paolo Grisleri3 , Guido Vezzoni3 , Cristina Hilario Gómez4 and Mike Del Rose5 
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Vision Laboratory, University of Parma, Italy |
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Universidad Carlos III de Madrid, Spain |
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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.
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