Artigo Acesso aberto Revisado por pares

Pedestrian detection in far infrared images

2013; IOS Press; Volume: 20; Issue: 4 Linguagem: Inglês

10.3233/ica-130441

ISSN

1875-8835

Autores

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

Tópico(s)

Advanced Measurement and Detection Methods

Resumo

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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