A Real-Time Traffic Congestion Estimation Approach From Video Imagery

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Executive Summary

This paper presents a novel approach to detect traffic congestion on roads in a natural open world scene observed from TV cameras placed on poles or buildings. In this system, three algorithms are proposed to estimate the road status. They are based on background subtraction, frame differencing and time-spatial image respectively. The experimental results on real road traffic congestion estimation show that the time-spatial method is the most robust in complex lighting and traffic environment. The detailed algorithms and the comparison results are given in the paper.

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