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.
A multi-resolution approach for infrared vision-based pedestrian detection
2004-01-01
833422 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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