Pedestrian Detection in Far-Infrared Daytime Images Using a Hierarchical Codebook of SURF

Pedestrian Detection in Far-Infrared Daytime Images Using a Hierarchical Codebook of SURF

One of the main challenges in intelligent vehicles concerns pedestrian detection for driving assistance. Recent experiments have showed that state-of-the-art descriptors provide better performances on the far-infrared (FIR) spectrum than on the visible one, even in daytime conditions, for pedestrian...

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Bibliographic Details
Main Authors: Bassem Besbes, Alexandrina Rogozan, Adela-Maria Rus, Abdelaziz Bensrhair, Alberto Broggi
Format: Article
Language:English
Published: MDPI AG 2015-04-01
Series:Sensors
Subjects:
pedestrian detection
far-infrared images
scale-invariant feature matching
SURF
hierarchical codebook
SVM
pedestrian classification and tracking
Online Access:http://www.mdpi.com/1424-8220/15/4/8570

Internet

http://www.mdpi.com/1424-8220/15/4/8570

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