Memorias de investigación
Communications at congresses:
Optimized HOG for On-Road Video Based Vehicle Verification
Year:2014
Research Areas
  • Electronic technology and of the communications
Information
Abstract
Vision-based object detection from a moving platform becomes particularly challenging in the field of advanced driver assistance systems (ADAS). In this context, onboard vision-based vehicle verification strategies become critical, facing challenges derived from the variability of vehicles appearance, illumination, and vehicle speed. In this paper, an optimized HOG configuration for onboard vehicle verification is proposed which not only considers its spatial and orientation resolution, but descriptor processing strategies and classification. An indepth analysis of the optimal settings for HOG for onboard vehicle verification is presented, in the context of SVM classification with different kernels. In contrast to many existing approaches, the evaluation is realized in a public and heterogeneous database of vehicle and nonvehicle images in different areas of the road, rendering excellent verification rates that outperform other similar approaches in the literature.
International
Si
Congress
22nd European Signal Processing Conference, EUSIPCO 2014
960
Place
Lisbon, Portugal
Reviewers
Si
ISBN/ISSN
2219-5491
Start Date
01/09/2014
End Date
05/09/2014
From page
805
To page
809
Optimized HOG for On-Road Video Based Vehicle Verification
Participants
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Tratamiento de Imágenes (GTI)
  • Departamento: Señales, Sistemas y Radiocomunicaciones