This article presents a validator stage for a pedestrian detection system based on the use of probabilistic models for the infrared domain. Four different models are employed in order to recognize the pose of the pedestrians; open, almost open, almost closed and fully closed legs are detected. In an attempt to overcome the drawbacks of template-matching in far infrared images, two different approaches are proposed. The algorithm has been tested on an experimental vehicle in different situations and a Receiver Operating Characteristic has been computed.
Pedestrian Detection in Far Infrared Images based on the use of Probabilistic Templates
2007 IEEE Intelligent Vehicles Symposium ; 327-332
2007-06-01
643366 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Pedestrian Detection in Far Infrared Images Based on the Use of Probabilistic Templates
British Library Conference Proceedings | 2007
|Probabilistic Template Based Pedestrian Detection in Infrared Videos
British Library Conference Proceedings | 2003
|Pedestrian detection in infrared images
IEEE | 2003
|Pedestrian Detection and Tracking in Far Infrared Images
British Library Conference Proceedings | 2005
|