Proceedings of the 8th international conference on Mobile systems, applications, and services
Information fusion based learning for frugal traffic state sensing
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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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, a time-spatial imagery based algorithm is proposed to estimate the road status from the video. The experimental results on real road traffic congestion estimation show that the time-spatial method is robust in complex lighting and traffic environment. The detailed algorithm and the comparison results are given in the paper.