Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
33rd (2019)
Session ID : 4D3-E-2-02
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Trees Detection on Google Street View Images Using Deep Learning and City Open Data
*Lieu-Hen CHENHao-Ming HUNGCheng-Yu SUNEric Hsiao-Kuang WUToru YAMAGUCHIEri SATO-SHIMOKAWARAHao CHEN
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Abstract

For almost every cities and towns, street trees play an important role in representing seasonal change of the street view. Nowadays, lots of countries start promoting open data. Among these data, very useful information related to street trees are well documented with free access by many city governments. At the same time, Google Street View provides the view of a certain surrounding by composing stitched images which are shot by specialized vehicles moving along streets and alleys. However, few research reports have been published on utilizing city open data for trees detection on Google Street View. Therefore, in this study, we aim to perform trees detection on Google Street View Images by utilizing Deep Learning technologies and city open data.

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© 2019 The Japanese Society for Artificial Intelligence
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