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Pecharromán Galindo, Antonio, Sánchez Almodóvar, Nuria, Torres Arjona, Juan and Menéndez García, José Manuel ORCID: https://orcid.org/0000-0003-0584-2250
(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.
Title: | Real-time incidents detection in the highways of the future |
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Author/s: |
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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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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.
Item ID: | 36941 |
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DC Identifier: | https://oa.upm.es/36941/ |
OAI Identifier: | oai:oa.upm.es:36941 |
Deposited by: | Memoria Investigacion |
Deposited on: | 01 Aug 2015 12:12 |
Last Modified: | 31 Mar 2023 15:44 |