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This paper presents the improvements of a system for pedestrian detection in infrared images. The system is based on a multi-resolution localization of warm symmetrical objects with specific size and aspect ratio; the multi-resolution approach allows to detect both close and far pedestrians. A match against a set of 3D models encoding human shape's morphological and thermal characteristics is used as a validation process to remove false positives. No temporal correlation, nor motion cues are used for the processing that is based on the analysis of single frames only.
Broggi et al. (Mon,) studied this question.