Abstract-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.
Bertozzi et al. REF proposed a probabilistic template-based approach for pedestrian detection in far infrared (IR) images.
Pedestrian Detection in Far Infrared Images based on the use of Probabilistic Templates
2007 IEEE Intelligent Vehicles Symposium
2007 IEEE Intelligent Vehicles Symposium
Computer Science