Trees Detection on Google Street View Images Using Deep Learning and City Open Data

Lieu Hen Chen; Hao Ming Hung; Cheng Yu Sun; Eric Hsiao Kuang Wu; Toru Yamaguchi; Eri Sato-Shimokawara; Hao Chen

doi:10.1007/978-3-030-39878-1_22

Trees Detection on Google Street View Images Using Deep Learning and City Open Data

Lieu Hen Chen
, Hao Ming Hung
, Cheng Yu Sun
, Eric Hsiao Kuang Wu
, Toru Yamaguchi
, Eri Sato-Shimokawara
, Hao Chen

Department of Computer Science and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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.

Original language	English
Title of host publication	Advances in Artificial Intelligence - Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence JSAI 2019
Editors	Yukio Ohsawa, Katsutoshi Yada, Takayuki Ito, Yasufumi Takama, Eri Sato-Shimokawara, Akinori Abe, Junichiro Mori, Naohiro Matsumura
Publisher	Springer
Pages	236-243
Number of pages	8
ISBN (Print)	9783030398774
DOIs	https://doi.org/10.1007/978-3-030-39878-1_22
State	Published - 2020
Event	33rd Annual Conference of the Japanese Society for Artificial Intelligence, JSAI 2019 - Niigata, Japan Duration: 4 Jun 2019 → 7 Jun 2019

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1128 AISC
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	33rd Annual Conference of the Japanese Society for Artificial Intelligence, JSAI 2019
Country/Territory	Japan
City	Niigata
Period	4/06/19 → 7/06/19

Keywords

Deep Learning
Open data
Trees detection

Access to Document

10.1007/978-3-030-39878-1_22

Cite this

Chen, L. H., Hung, H. M., Sun, C. Y., Wu, E. H. K., Yamaguchi, T., Sato-Shimokawara, E., & Chen, H. (2020). Trees Detection on Google Street View Images Using Deep Learning and City Open Data. In Y. Ohsawa, K. Yada, T. Ito, Y. Takama, E. Sato-Shimokawara, A. Abe, J. Mori, & N. Matsumura (Eds.), Advances in Artificial Intelligence - Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence JSAI 2019 (pp. 236-243). (Advances in Intelligent Systems and Computing; Vol. 1128 AISC). Springer. https://doi.org/10.1007/978-3-030-39878-1_22

Chen, Lieu Hen ; Hung, Hao Ming ; Sun, Cheng Yu et al. / Trees Detection on Google Street View Images Using Deep Learning and City Open Data. Advances in Artificial Intelligence - Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence JSAI 2019. editor / Yukio Ohsawa ; Katsutoshi Yada ; Takayuki Ito ; Yasufumi Takama ; Eri Sato-Shimokawara ; Akinori Abe ; Junichiro Mori ; Naohiro Matsumura. Springer, 2020. pp. 236-243 (Advances in Intelligent Systems and Computing).

@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",

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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",

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Chen, LH, Hung, HM, Sun, CY, Wu, EHK, Yamaguchi, T, Sato-Shimokawara, E & Chen, H 2020, Trees Detection on Google Street View Images Using Deep Learning and City Open Data. in Y Ohsawa, K Yada, T Ito, Y Takama, E Sato-Shimokawara, A Abe, J Mori & N Matsumura (eds), Advances in Artificial Intelligence - Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence JSAI 2019. Advances in Intelligent Systems and Computing, vol. 1128 AISC, Springer, pp. 236-243, 33rd Annual Conference of the Japanese Society for Artificial Intelligence, JSAI 2019, Niigata, Japan, 4/06/19. https://doi.org/10.1007/978-3-030-39878-1_22

Trees Detection on Google Street View Images Using Deep Learning and City Open Data. / Chen, Lieu Hen; Hung, Hao Ming; Sun, Cheng Yu et al.
Advances in Artificial Intelligence - Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence JSAI 2019. ed. / Yukio Ohsawa; Katsutoshi Yada; Takayuki Ito; Yasufumi Takama; Eri Sato-Shimokawara; Akinori Abe; Junichiro Mori; Naohiro Matsumura. Springer, 2020. p. 236-243 (Advances in Intelligent Systems and Computing; Vol. 1128 AISC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Trees Detection on Google Street View Images Using Deep Learning and City Open Data

AU - Chen, Lieu Hen

AU - Hung, Hao Ming

AU - Sun, Cheng Yu

AU - Wu, Eric Hsiao Kuang

AU - Yamaguchi, Toru

AU - Sato-Shimokawara, Eri

AU - Chen, Hao

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Deep Learning

KW - Open data

KW - Trees detection

UR - https://www.scopus.com/pages/publications/85080873456

U2 - 10.1007/978-3-030-39878-1_22

DO - 10.1007/978-3-030-39878-1_22

M3 - 會議論文篇章

AN - SCOPUS:85080873456

SN - 9783030398774

T3 - Advances in Intelligent Systems and Computing

SP - 236

EP - 243

BT - Advances in Artificial Intelligence - Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence JSAI 2019

A2 - Ohsawa, Yukio

A2 - Yada, Katsutoshi

A2 - Ito, Takayuki

A2 - Takama, Yasufumi

A2 - Sato-Shimokawara, Eri

A2 - Abe, Akinori

A2 - Mori, Junichiro

A2 - Matsumura, Naohiro

PB - Springer

T2 - 33rd Annual Conference of the Japanese Society for Artificial Intelligence, JSAI 2019

Y2 - 4 June 2019 through 7 June 2019

ER -

Chen LH, Hung HM, Sun CY, Wu EHK, Yamaguchi T, Sato-Shimokawara E et al. Trees Detection on Google Street View Images Using Deep Learning and City Open Data. In Ohsawa Y, Yada K, Ito T, Takama Y, Sato-Shimokawara E, Abe A, Mori J, Matsumura N, editors, Advances in Artificial Intelligence - Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence JSAI 2019. Springer. 2020. p. 236-243. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-39878-1_22

Trees Detection on Google Street View Images Using Deep Learning and City Open Data

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Keywords

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