Title

Investigation of Safety Analysis Methods Using Computer Vision Techniques

Document Type

Article

Publication Date

1-1-2017

Publication Title

Journal of Electronic Imaging

Volume

26

Issue

5

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. © 2017 SPIE and IS&T.

Language

english

UNLV article access

Search your library

Share

COinS