A study of feature combination for vehicle detection based on image processing

Arróspide Laborda, Jon y Salgado Álvarez de Sotomayor, Luis (2014). A study of feature combination for vehicle detection based on image processing. "The Scientific World Journal", v. 2014 ; pp. 1-13. ISSN 1537-744X. https://doi.org/10.1155/2014/196251.

Descripción

Título: A study of feature combination for vehicle detection based on image processing
Autor/es:
  • Arróspide Laborda, Jon
  • Salgado Álvarez de Sotomayor, Luis
Tipo de Documento: Artículo
Título de Revista/Publicación: The Scientific World Journal
Fecha: 2014
Volumen: 2014
Materias:
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Señales, Sistemas y Radiocomunicaciones
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Video analytics play a critical role in most recent traffic monitoring and driver assistance systems. In this context, the correct detection and classification of surrounding vehicles through image analysis has been the focus of extensive research in the last years. Most of the pieces of work reported for image-based vehicle verification make use of supervised classification approaches and resort to techniques, such as histograms of oriented gradients (HOG), principal component analysis (PCA), and Gabor filters, among others. Unfortunately, existing approaches are lacking in two respects: first, comparison between methods using a common body of work has not been addressed; second, no study of the combination potentiality of popular features for vehicle classification has been reported. In this study the performance of the different techniques is first reviewed and compared using a common public database. Then, the combination capabilities of these techniques are explored and a methodology is presented for the fusion of classifiers built upon them, taking into account also the vehicle pose. The study unveils the limitations of single-feature based classification and makes clear that fusion of classifiers is highly beneficial for vehicle verification.

Proyectos asociados

TipoCódigoAcrónimoResponsableTítulo
Gobierno de EspañaTEC2010-20412Sin especificarSin especificarSin especificar

Más información

ID de Registro: 37441
Identificador DC: http://oa.upm.es/37441/
Identificador OAI: oai:oa.upm.es:37441
Identificador DOI: 10.1155/2014/196251
URL Oficial: http://www.hindawi.com/journals/tswj/2014/196251/
Depositado por: Memoria Investigacion
Depositado el: 21 Sep 2015 15:55
Ultima Modificación: 21 Sep 2015 15:55
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