Memorias de investigación
Research Publications in journals:
Robust vehicle detection in different weather conditions: Using MIPM
Year:2018

Research Areas
  • Engineering,
  • Processing and signal analysis

Information
Abstract
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
International
Si
JCR
Si
Title
Plos One
ISBN
1932-6203
Impact factor JCR
2,806
Impact info
Datos JCR del año 2016
Volume
13
10.1371/journal.pone.0191355
Journal number
3
From page
1
To page
30
Month
MARZO
Ranking
Participants

Research Group, Departaments and Institutes related
  • Creador: Departamento: Electrónica Física
  • Departamento: Señales, Sistemas y Radiocomunicaciones