Real-time incidents detection in the highways of the future

Pecharromán Galindo, Antonio and Sánchez Almodóvar, Nuria and Torres Arjona, Juan and Menendez Garcia, Jose Manuel (2011). Real-time incidents detection in the highways of the future. In: "15th Portuguese Conference on Artificial Intelligence (EPIA 2011)", 10/10/2011 - 13/10/2011, Lisbon, Portugal. pp. 108-121.

Description

Title: Real-time incidents detection in the highways of the future
Author/s:
  • Pecharromán Galindo, Antonio
  • Sánchez Almodóvar, Nuria
  • Torres Arjona, Juan
  • Menendez Garcia, Jose Manuel
Item Type: Presentation at Congress or Conference (Article)
Event Title: 15th Portuguese Conference on Artificial Intelligence (EPIA 2011)
Event Dates: 10/10/2011 - 13/10/2011
Event Location: Lisbon, Portugal
Title of Book: 15th Portuguese Conference on Artificial Intelligence (EPIA 2011)
Date: 2011
Subjects:
Freetext Keywords: Stopped Vehicle Detection, Passenger and Driver Detection, Pedestrian Detection, Computer Vision, Highway traffic, Adaptive Background Subtraction. Deterministic Rules. Intelligent Transportation Systems
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

Due to ever increasing transportation of people and goods, automatic traffic surveillance is becoming a key issue for both providing safety to road users and improving traffic control in an efficient way. In this paper, we propose a new system that, exploiting the capabilities that both computer vision and machine learning offer, is able to detect and track different types of real incidents on a highway. Specifically, it is able to accurately detect not only stopped vehicles, but also drivers and passengers leaving the stopped vehicle, and other pedestrians present in the roadway. Additionally, a theoretical approach for detecting vehicles which may leave the road in an unexpected way is also presented. The system works in real-time and it has been optimized for working outdoor, being thus appropriate for its deployment in a real-world environment like a highway. First experimental results on a dataset created with videos provided by two Spanish highway operators demonstrate the effectiveness of the proposed system and its robustness against noise and low-quality videos.

More information

Item ID: 36941
DC Identifier: http://oa.upm.es/36941/
OAI Identifier: oai:oa.upm.es:36941
Deposited by: Memoria Investigacion
Deposited on: 01 Aug 2015 12:12
Last Modified: 06 Jun 2016 12:12
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