Combining SURF-based local and global features for road obstacle recognition in far infrared images

This paper describes a road obstacle classification system that recognizes both vehicles and pedestrians in far-infrared images. Different local and global features based on Speeded Up Robust Features (SURF) were investigated and then selected in order to extract a discriminative signature from the...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Besbes, Bassem, Apatean, Anca, Rogozan, Alexandrina, Bensrhair, Abdelaziz
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Feature extraction Image recognition Kernel Roads Shape Support vector machines Vehicles
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