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Journal of Electronic Imaging

Investigation of safety analysis methods using computer vision techniques
Author(s): Mohammad Shokrolah Shirazi; Brendan Tran Morris
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Paper Abstract

This work investigates safety analysis methods using computer vision techniques. The vision-based tracking system is developed to provide the trajectory of road users including vehicles and pedestrians. Safety analysis methods are developed to estimate time to collision (TTC) and postencroachment time (PET) that are two important safety measurements. Corresponding algorithms are presented and their advantages and drawbacks are shown through their success in capturing the conflict events in real time. The performance of the tracking system is evaluated first, and probability density estimation of TTC and PET are shown for 1-h monitoring of a Las Vegas intersection. Finally, an idea of an intersection safety map is introduced, and TTC values of two different intersections are estimated for 1 day from 8:00 a.m. to 6:00 p.m.

Paper Details

Date Published: 14 June 2017
PDF: 11 pages
J. Electron. Imag. 26(5) 051404 doi: 10.1117/1.JEI.26.5.051404
Published in: Journal of Electronic Imaging Volume 26, Issue 5
Show Author Affiliations
Mohammad Shokrolah Shirazi, Cleveland State Univ. (United States)
Brendan Tran Morris, Univ. of Nevada, Las Vegas (United States)


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