An approach for vehicle conflict analysis based on three-dimensional (3-D) vehicle detection is presented. Techniques for quantitative conflict measurements often use a point trajectory representation for vehicles. More accurate conflict measurement can be facilitated with a region-based vehicle representation instead. This paper describes a computer vision approach for extracting vehicle trajectories from video sequences. The method relied on a fusion of background subtraction and feature-based tracking to provide a three-dimensional (3-D) cuboid representation of the vehicle. Standard conflict measures, including time to collision and postencroachment time, were computed with the use of the 3-D cuboid vehicle representations. The use of these conflict measures was demonstrated on a challenging data set of video footage. Results showed that the region-based representation could provide more precise calculation of traffic conflict indicators compared with approaches based on a point representation.


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    Title :

    Automated Region-Based Vehicle Conflict Detection Using Computer Vision Techniques


    Additional title:

    Transportation Research Record: Journal of the Transportation Research Board


    Contributors:
    Li, Jinling (author) / Liu, Yuhao (author) / Tageldin, Ahmed (author) / Zaki, Mohamed H. (author) / Mori, Greg (author) / Sayed, Tarek (author)


    Publication date :

    2019-04-04




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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