Memorias de investigación
Ponencias en congresos:
Optimized HOG for On-Road Video Based Vehicle Verification
Año:2014
Áreas de investigación
  • Tecnología electrónica y de las comunicaciones
Datos
Descripción
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.
Internacional
Si
Nombre congreso
22nd European Signal Processing Conference, EUSIPCO 2014
Tipo de participación
960
Lugar del congreso
Lisbon, Portugal
Revisores
Si
ISBN o ISSN
2219-5491
DOI
Fecha inicio congreso
01/09/2014
Fecha fin congreso
05/09/2014
Desde la página
805
Hasta la página
809
Título de las actas
Optimized HOG for On-Road Video Based Vehicle Verification
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Tratamiento de Imágenes (GTI)
  • Departamento: Señales, Sistemas y Radiocomunicaciones