Automated Region-Based Vehicle Conflict Detection Using Computer Vision Techniques. Issue 1 (January 2015)

• Record Type: Journal Article
• Authors: Li, Jinling; Liu, Yuhao; Tageldin, Ahmed; Zaki, Mohamed H.; Mori, Greg; Sayed, Tarek
• Is Part Of: Transportation research record. Volume 2528:Issue 1(2015)
• Page Start: 49
• Page End: 59
• Publication Date: 2015-01
• Subjects: Transportation -- Periodicals; Roads; Transport -- Périodiques; Routes -- Périodiques; Routes -- Conception et construction -- Périodiques; Roads; Transportation; 388.05
• DOI: 10.3141/2528-06
• Languages: English
• ISSNs: 0361-1981

Abstract

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.