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Memorias de investigación
Artículos en revistas:
Robust vehicle detection in different weather conditions: Using MIPM
Año:2018
Áreas de investigación
  • Ingenierías,
  • Procesado y análisis de la señal
Datos
Descripción
Intelligent Transportation Systems (ITS) allow us to have high quality traffic information to reduce the risk of potentially critical situations. Conventional image-based traffic detection methods have difficulties acquiring good images due to perspective and background noise, poor lighting and weather conditions. In this paper, we propose a new method to accurately segment and track vehicles. After removing perspective using Modified Inverse Perspective Mapping (MIPM), Hough transform is applied to extract road lines and lanes. Then, Gauss- ian Mixture Models (GMM) are used to segment moving objects and to tackle car shadow effects, we apply a chromacity-based strategy. Finally, performance is evaluated through three different video benchmarks: own recorded videos in Madrid and Tehran (with different weather conditions at urban and interurban areas); and two well-known public datasets (KITTI and DETRAC). Our results indicate that the proposed algorithms are robust, and more accurate compared to others, especially when facing occlusions, lighting variations and
Internacional
Si
JCR del ISI
Si
Título de la revista
Plos One
ISSN
1932-6203
Factor de impacto JCR
2,806
Información de impacto
Datos JCR del año 2016
Volumen
13
DOI
10.1371/journal.pone.0191355
Número de revista
3
Desde la página
1
Hasta la página
30
Mes
MARZO
Ranking
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Participantes
  • Autor: Nastaran Yaghoobi Ershadi (UPM)
  • Autor: Jose Manuel Menendez Garcia (UPM)
  • Autor: David Jimenez Bermejo (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Electrónica Física
  • Departamento: Señales, Sistemas y Radiocomunicaciones
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