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

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Advances in Artificial Intelligence (JSAI 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1128))

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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.

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Author information

Authors and Affiliations

  1. National Chi Nan University, No. 303, Daxue Rd., Puli Township, Nantou County, 545, Taiwan

    Lieu-Hen Chen, Hao-Ming Hung, Cheng-Yu Sun & Hao Chen

  2. National Central University, No. 300, Zhongda Rd., Zhongli Dist., Taoyuan City, 320, Taiwan

    Eric Hsiao-Kuang Wu

  3. Tokyo Metropolitan University, 6-6 Asahigaoka, Hino-shi, Tokyo, 191-0065, Japan

    Cheng-Yu Sun, Toru Yamaguchi & Eri Sato-Shimokawara

Authors
  1. Lieu-Hen Chen
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  2. Hao-Ming Hung
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  3. Cheng-Yu Sun
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  4. Eric Hsiao-Kuang Wu
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  5. Toru Yamaguchi
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  6. Eri Sato-Shimokawara
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  7. Hao Chen
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Corresponding author

Correspondence to Lieu-Hen Chen .

Editor information

Editors and Affiliations

  1. Department of Systems Innovation, University of Tokyo, Tokyo, Japan

    Yukio Ohsawa

  2. Faculty of Business and Commerce, Kansai University, Osaka, Japan

    Katsutoshi Yada

  3. Nagoya Institute of Technology, Nagoya, Japan

    Takayuki Ito

  4. Graduate School of System Design, Tokyo Metropolitan University, Tokyo, Japan

    Yasufumi Takama

  5. Department of Information and Communication, Tokyo Metropolitan University, Tokyo, Japan

    Eri Sato-Shimokawara

  6. Faculty of Letters, Chiba University, Chiba, Japan

    Akinori Abe

  7. School of Engineering, The University of Tokyo, Tokyo, Japan

    Junichiro Mori

  8. Graduate School of Economics, Osaka University, Toyonaka, Osaka, Japan

    Naohiro Matsumura

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Chen, LH. et al. (2020). Trees Detection on Google Street View Images Using Deep Learning and City Open Data. In: Ohsawa, Y., et al. Advances in Artificial Intelligence. JSAI 2019. Advances in Intelligent Systems and Computing, vol 1128. Springer, Cham. https://doi.org/10.1007/978-3-030-39878-1_22

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