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August 26, 2013Integrated Computer-Aided EngineeringOpen Access

Pedestrian detection in far infrared images

Daniel Olmeda Cristiano Premebida Urbano Nunes José María Armingol Arturo de la Escalera

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Abstract

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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Cite This Study

Olmeda et al. (2013) studied this question.

synapsesocial.com/papers/6a1d72c55b7fddc352054d87 https://doi.org/10.3233/ica-130441

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