Pedestrian detection in far infrared images

Daniel Olmeda, Cristiano Premebida, Urbano Nunes, José María Armingol, Arturo de la Escalera · Integrated Computer-Aided Engineering · 2013

This paper presents an experimental study on pedestrian classification and detection in far infrared (FIR) images. The study includes an in-depth evaluation of several combinations of features and classifiers, which include features previously used f

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