Title: Traffic incident detection based on the width characteristic of the moving object marker

Authors: Shangbing Gao; Wenting Li; Dajing Hao; Hui Wang; Jian Zhou

Addresses: College of Computer and Software Engineering, Huaiyin Institute of Technology, Huaian, 223001, China ' College of Computer and Software Engineering, Huaiyin Institute of Technology, Huaian, 223001, China ' College of Computer and Software Engineering, Huaiyin Institute of Technology, Huaian, 223001, China ' College of Computer and Software Engineering, Huaiyin Institute of Technology, Huaian, 223001, China ' College of Computer and Software Engineering, Huaiyin Institute of Technology, Huaian, 223001, China

Abstract: Aiming at the current situation that the existing traffic event detection algorithm is complex and cumbersome, a traffic incident detection method based on the width characteristics of the moving object was proposed. Firstly, the foreground object is extracted by ViBe (visual background extractor) and the foreground target is subjected to hole removal and smoothing processing. Then, the moving target is marked with a label, the width change characteristic of the moving target mark frame is analysed and the traffic event detection model is introduced, thereby achieving detection of traffic events. The experimental results show that the method can effectively detect the rear-end event, the crossing event and the collision-fixing event in the traffic incident.

Keywords: ViBe; visual background extractor; classification of vehicle types; traffic incident detection; image pre-processing.

DOI: 10.1504/IJICT.2020.107582

International Journal of Information and Communication Technology, 2020 Vol.16 No.4, pp.285 - 296

Received: 02 Feb 2019
Accepted: 08 May 2019

Published online: 31 Mar 2020 *

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