2019年度 人工知能学会全国大会（第33回）
2019年6月4日〜6月7日朱鷺メッセ 新潟コンベンションセンター
2019年度 人工知能学会全国大会（第33回）
2019年6月4日〜6月7日朱鷺メッセ 新潟コンベンションセンター
[4D3-E-2-02]Trees Detection on Google Street View Images Using Deep Learning and City Open Data
〇Lieu-Hen Chen1, Hao-Ming Hung1, Cheng-Yu Sun1, Eric Hsiao-Kuang Wu2, Toru Yamaguchi3, Eri Sato-Shimokawara3, Hao Chen1(1. Nantional Chi Nan University, 2. National Central University, 3. Tokyo Metropolitan University)
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.