Pedestrian detection in far infrared images
2013; IOS Press; Volume: 20; Issue: 4 Linguagem: Inglês
10.3233/ica-130441
ISSN1875-8835
AutoresDaniel Olmeda, Cristiano Premebida, Urbano Nunes, José María Armingol, Arturo de la Escalera,
Tópico(s)Advanced Measurement and Detection Methods
ResumoThis 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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