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Development of Vision-Based Vehicle Tracking for Extracting Microscopic Traffic Information  

Lee, Ki-Young (한국도로공사 도로교통기술원)
Chang, Myung-Soon (한양대학교 교통시스템공학과)
Publication Information
Journal of Korean Society of Transportation / v.23, no.7, 2005 , pp. 137-148 More about this Journal
Abstract
The position information of individual vehicles on a road at every time instant can be used to analyze the microscopic behaviors of driving of each vehicle. The limited information obtained from previous imaging technology such as traffic volume and interval velocity cannot be used to explore such microscopic traffic conditions. Also, information gathering for the microscopic behaviors by manual analysis of captured video takes large amount of time and man-power. In the paper we develop the rule-based vehicle tracking technology from which the position information of individual vehicles on a road at every time instant can be automatically obtained. Also, we extract the position data of driving vehicles on a road, length of 130m for every 0.05 second, and calculate the velocity of each traced vehicles to compare with the real velocity for the verification of accuracy. In the future, this type of tracking techniques based on video analysis can be widely used to provide the practically important information of road traffic conditions and to analyze the academically important microscopic behaviors of driving patterns.
Keywords
Position information; microscopic behavior; rule-based tracking; video analysis; traffic conditions; driving patterns;
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