Memorias de investigación
Communications at congresses:
Histograms of Oriented Gradients for fast on-board vehicle verification
Year:2014
Research Areas
  • Electronic technology and of the communications
Information
Abstract
Histograms of Oriented Gradients (HoGs) provide excellent results in object detection and verification. However, their demanding processing requirements bound their applicability in some critical real-time scenarios, such as for video-based on-board vehicle detection systems. In this work, an efficient HOG configuration for pose-based on-board vehicle verification is proposed, which alleviates both the processing requirements and required feature vector length without reducing classification performance. The impact on classification of some critical configuration and processing parameters is in depth analyzed to propose a baseline efficient descriptor. Based on the analysis of its cells contribution to classification, new view-dependent cell-configuration patterns are proposed, resulting in reduced descriptors which provide an excellent balance between performance and computational requirements, rendering higher verification rates than other works in the literature.
International
Si
Congress
IEEE Int. Conf. on Image Processing, ICIP 2014
960
Place
Paris, France
Reviewers
Si
ISBN/ISSN
1522-4880
10.1109/ICIP.2014.7025328
Start Date
27/10/2014
End Date
30/10/2014
From page
1638
To page
1642
Histograms of Oriented Gradients for fast on-board vehicle verification
Participants
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Tratamiento de Imágenes (GTI)
  • Departamento: Señales, Sistemas y Radiocomunicaciones