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http://dx.doi.org/10.5573/ieie.2014.51.2.023

Highway Incident Detection and Classification Algorithms using Multi-Channel CCTV  

Jang, Hyeok (Dept. of Electronic Engineering, Inha University)
Hwang, Tae-Hyun (Dept. of Electronic Engineering, Inha University)
Yang, Hun-Jun (Dept. of Electronic Engineering, Inha University)
Jeong, Dong-Seok (Dept. of Electronic Engineering, Inha University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.51, no.2, 2014 , pp. 23-29 More about this Journal
Abstract
The advanced traffic management system of intelligent transport systems automates the related traffic tasks such as vehicle speed, traffic volume and traffic incidents through the improved infrastructures like high definition cameras, high-performance radar sensors. For the safety of road users, especially, the automated incident detection and secondary accident prevention system is required. Normally, CCTV based image object detection and radar based object detection is used in this system. In this paper, we proposed the algorithm for real time highway incident detection system using multi surveillance cameras to mosaic video and track accurately the moving object that taken from different angles by background modeling. We confirmed through experiments that the video detection can supplement the short-range shaded area and the long-range detection limit of radar. In addition, the video detection has better classification features in daytime detection excluding the bad weather condition.
Keywords
Incident detection; Mosaic; Background modeling; Object tracking; Object classification;
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