14 June 2017 Investigation of safety analysis methods using computer vision techniques
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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
Mohammad Shokrolah Shirazi, Brendan Tran Morris, "Investigation of safety analysis methods using computer vision techniques," Journal of Electronic Imaging 26(5), 051404 (14 June 2017). https://doi.org/10.1117/1.JEI.26.5.051404 . Submission: Received: 20 January 2017; Accepted: 28 April 2017
Received: 20 January 2017; Accepted: 28 April 2017; Published: 14 June 2017
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