ASCE will be sunsetting the Civil Engineering Database (CEDB) in the coming months. We encourage you to start using the ASCE Library to perform content searches. In the ASCE Library, you can save your search results as well as receive email content alerts when new content relevant to your area of interest is published. Try it out today at https://ascelibrary.org.

 

Field Implementation and Testing of a Machine Vision Based Incident Detection System

by Panos G. Michalopoulos, Univ of Minnesota, Minneapolis, United States,
Richard D. Jacobson, Univ of Minnesota, Minneapolis, United States,
Craig A. Anderson, Univ of Minnesota, Minneapolis, United States,



Document Type: Proceeding Paper

Part of: Pacific Rim TransTech Conference: Volume I: Advanced Technologies

Abstract:

This paper contains test results of a video detection device installed in the field for over two years and the development and field deployment of an incident detection sysytems called IDEAS which is based on traffic information extracted by the video detection. In spite of the fact that for the time being the incident detection system must rely on single camera input, preliminary test results suggest an 80% detection rate and 3% false detection rate. The results also indicate detection of incidents within almost 2 miles from the detection zone even when the incidents occur beyond the field of view of the camera as well as in adjacent freeways.

Subject Headings: Traffic accidents | Field tests | Computer vision and image processing | Traffic management | Urban and regional development | Traffic surveillance | Intelligent transportation systems

Services: Buy this book/Buy this article

 

Return to search