Abstract
In recent years, cameras are developing smaller and higher performance. Therefore, it became possible to take images from free position. In this research, we aim to analyze the traffic flow by take the overhead view image from the top of the building. We have constructed a system to accurately track the position of vehicles using image recognition technology with machine learning. In order to construct this system, images taken at three different intersection points were prepared as machine learning teacher images. This makes it possible to automatically measure the running time of the vehicle and the group of vehicles at the intersection.
As result of this research, we can clarify the features and problems of intersections and roads. And the future, we will construct the vehicle simulation system using this result, highly accurate congestion analysis and congestion prediction become possible.
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Hori, T., Namekawa, M., Kanagawa, S. (2020). Analysis of Overhead View Images at Intersection Using Machine Learning. In: Abraham, A., Cherukuri, A.K., Melin, P., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2018 2018. Advances in Intelligent Systems and Computing, vol 940. Springer, Cham. https://doi.org/10.1007/978-3-030-16657-1_73
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DOI: https://doi.org/10.1007/978-3-030-16657-1_73
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