Real-time video surveillance for traffic monitoring using virtual line analysis

Abstract

A real-time video surveillance is presented for traffic monitoring of vehicle volume on major highways. Determining traffic volume automatically and in real-time assists drivers to dynamically plan their trips more efficiently. Our traffic monitoring system uses the virtual line graph to facilitate the detection of vehicles, classification of vehicle types, tracking of individual vehicles, and subsequently an accurate count of the number of vehicles. The virtual line analyzer detects vehicles as they cross a virtual boundary. The goal of this traffic monitoring system is to provide a real-time and accurate vehicle counter while taking advantage of stationary Web-cams, fixed highways and lanes, and deterministic vehicle characteristics.