Red-light traffic enforcement at railway crossings

Oliver Sidla; Gernot Loibner

doi:10.1117/12.908369

23 January 2012 Red-light traffic enforcement at railway crossings

Oliver Sidla, Gernot Loibner

Proceedings Volume 8301, Intelligent Robots and Computer Vision XXIX: Algorithms and Techniques; 83010B (2012) https://doi.org/10.1117/12.908369
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States

Abstract

The observation and monitoring of traffic witih smart vision systems for the purpose of improving traffic safety has a big potential. Embedded loop sensors can detect and count passing vehicles, radar can measure speed and presence of vehicles, and embedded vision systems or stationary camera systems can count vehicles and estimate the state of traffic along the road. This work presents a vision system which is targeted at detecting and reporting incidents at unsecured railways crossings. These crossings, even when guarded by automated barriers, pose a threat to drivers day and night. Our system is designed to detect and record vehicles which pass over the railway crossing by means of real-time motion analysis after the red light has been activated. We implement sparse optical flow in conjunction with motion clustering in order to detect critical events. We describe some modifications of the original Lucas Kanade optical flow method which makes our implementation faster and more robust compared to the original concept. In addition, the results of our optical flow method are compared with a HOG based vehicle detector which has been implemented and tested as an alternative methodology. The embedded system which is used for detection consists of a smart camera which observes one street lane as* well as the red light at the crossing. The camera is triggered by an electrical signal from the railway as soon ss a vehicle moves over th this line, image sequences are recorded and stored onboard the device.

Citation Download Citation

Oliver Sidla and Gernot Loibner "Red-light traffic enforcement at railway crossings", Proc. SPIE 8301, Intelligent Robots and Computer Vision XXIX: Algorithms and Techniques, 83010B (23 January 2012); https://doi.org/10.1117/12.908369

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
12 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Cameras

Optical flow

Embedded systems

Imaging systems

Sensors

Target detection

Computer vision technology

Show All Keywords

Keywords/Phrases

Search In:

Publication Years