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

Arróspide Laborda, Jon and 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.

Description

Title: A study of feature combination for vehicle detection based on image processing
Author/s:
  • Arróspide Laborda, Jon
  • Salgado Álvarez de Sotomayor, Luis
Item Type: Article
Título de Revista/Publicación: The Scientific World Journal
Date: 2014
ISSN: 1537-744X
Volume: 2014
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainTEC2010-20412UnspecifiedUnspecifiedUnspecified

More information

Item ID: 37441
DC Identifier: http://oa.upm.es/37441/
OAI Identifier: oai:oa.upm.es:37441
DOI: 10.1155/2014/196251
Official URL: http://www.hindawi.com/journals/tswj/2014/196251/
Deposited by: Memoria Investigacion
Deposited on: 21 Sep 2015 15:55
Last Modified: 21 Sep 2015 15:55
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