E. Binelli

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This paper describes a system for pedestrian detection in stereo infrared images. The system is based on three different underlying approaches: warm area detection, edgebased detection, and v-disparity computation. Stereo is also used for computing the distance and size of detected objects. A final validation process is performed using head morphological(More)
This paper describes a modular tracking system designed to improve the performance of a pedestrian detector. The tracking system consists of two modules, a labeler and a predictor. The former associates a tracking identifier to each pedestrian, keeping memory of the past history; this is achieved by merging the detector and predictor outputs combined with(More)
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