@inproceedings{75fc7b8ca208488586ce3200d36a2d23,
title = "Trees Detection on Google Street View Images Using Deep Learning and City Open Data",
abstract = "This is an extension from a selected paper from JSAI2019. 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.",
keywords = "Deep Learning, Open data, Trees detection",
author = "Chen, {Lieu Hen} and Hung, {Hao Ming} and Sun, {Cheng Yu} and Wu, {Eric Hsiao Kuang} and Toru Yamaguchi and Eri Sato-Shimokawara and Hao Chen",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 33rd Annual Conference of the Japanese Society for Artificial Intelligence, JSAI 2019 ; Conference date: 04-06-2019 Through 07-06-2019",
year = "2020",
doi = "10.1007/978-3-030-39878-1_22",
language = "???core.languages.en_GB???",
isbn = "9783030398774",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "236--243",
editor = "Yukio Ohsawa and Katsutoshi Yada and Takayuki Ito and Yasufumi Takama and Eri Sato-Shimokawara and Akinori Abe and Junichiro Mori and Naohiro Matsumura",
booktitle = "Advances in Artificial Intelligence - Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence JSAI 2019",
}