Abstract
This paper describes a system for pedestrian detection in infrared images implemented and tested on an experimental vehicle. A specific stabilization procedure is applied after image acquisition and before processing to cope with vehicle movements affecting the camera calibration. The localization of pedestrians is based on the search for warm symmetrical objects with specific size and aspect ratio. A set of filters is used to reduce false detections. The final validation process relies on the human shapes morphological characteristics.
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Published on 01/01/2003
Volume 2003, 2003
DOI: 10.1007/978-3-540-45243-0_74
Licence: CC BY-NC-SA license
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