Poster abstract: Using deep learning to count garbage bags

Kazuhiro Mikami; Yin Chen; Jin Nakazawa

doi:10.1145/3274783.3275167

Poster abstract: Using deep learning to count garbage bags

Kazuhiro Mikami, Yin Chen, Jin Nakazawa

環境情報学部

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

The information of daily garbage diposal can be used to develop many appealing applications in smart cities. This poster introduces DeepCounter, an automotive sensing system to providing a fine-grained spatio-temporal distribution on the amount of disposed garbage bags. In the system, deep learning based image processing is used to automatically count the number of collected garbage bags from the video taken by a camera mounted on the rear of a garbage truck. A prototype system is implemented and experimental evaluation validates the feasibility of our proposal using realistic garbage collection videos in Fujisawa city, Japan.

本文言語	English
ホスト出版物のタイトル	SenSys 2018 - Proceedings of the 16th Conference on Embedded Networked Sensor Systems
出版社	Association for Computing Machinery, Inc
ページ	329-330
ページ数	2
ISBN（電子版）	9781450359528
DOI	https://doi.org/10.1145/3274783.3275167
出版ステータス	Published - 2018 11月 4
イベント	16th ACM Conference on Embedded Networked Sensor Systems, SENSYS 2018 - Shenzhen, China 継続期間: 2018 11月 4 → 2018 11月 7

出版物シリーズ

名前	SenSys 2018 - Proceedings of the 16th Conference on Embedded Networked Sensor Systems

Conference

Conference	16th ACM Conference on Embedded Networked Sensor Systems, SENSYS 2018
国/地域	China
City	Shenzhen
Period	18/11/4 → 18/11/7

ASJC Scopus subject areas

制御およびシステム工学
電子工学および電気工学
コンピュータネットワークおよび通信

UN SDG

この成果は、次の持続可能な開発目標に貢献しています

文献へのアクセス

10.1145/3274783.3275167

他のファイルとリンク

引用スタイル

Mikami, K., Chen, Y., & Nakazawa, J. (2018). Poster abstract: Using deep learning to count garbage bags. In SenSys 2018 - Proceedings of the 16th Conference on Embedded Networked Sensor Systems (pp. 329-330). (SenSys 2018 - Proceedings of the 16th Conference on Embedded Networked Sensor Systems). Association for Computing Machinery, Inc. https://doi.org/10.1145/3274783.3275167

Poster abstract: Using deep learning to count garbage bags. / Mikami, Kazuhiro; Chen, Yin; Nakazawa, Jin.
SenSys 2018 - Proceedings of the 16th Conference on Embedded Networked Sensor Systems. Association for Computing Machinery, Inc, 2018. p. 329-330 (SenSys 2018 - Proceedings of the 16th Conference on Embedded Networked Sensor Systems).

研究成果: Conference contribution

Mikami, K, Chen, Y & Nakazawa, J 2018, Poster abstract: Using deep learning to count garbage bags. in SenSys 2018 - Proceedings of the 16th Conference on Embedded Networked Sensor Systems. SenSys 2018 - Proceedings of the 16th Conference on Embedded Networked Sensor Systems, Association for Computing Machinery, Inc, pp. 329-330, 16th ACM Conference on Embedded Networked Sensor Systems, SENSYS 2018, Shenzhen, China, 18/11/4. https://doi.org/10.1145/3274783.3275167

@inproceedings{8b1f6e2180d5433abb469fe4e1b8cb9c,

title = "Poster abstract: Using deep learning to count garbage bags",

abstract = "The information of daily garbage diposal can be used to develop many appealing applications in smart cities. This poster introduces DeepCounter, an automotive sensing system to providing a fine-grained spatio-temporal distribution on the amount of disposed garbage bags. In the system, deep learning based image processing is used to automatically count the number of collected garbage bags from the video taken by a camera mounted on the rear of a garbage truck. A prototype system is implemented and experimental evaluation validates the feasibility of our proposal using realistic garbage collection videos in Fujisawa city, Japan.",

keywords = "Automotive sensing, Deep learning, Image processing, Smart cities, Urban sensing",

author = "Kazuhiro Mikami and Yin Chen and Jin Nakazawa",

note = "Publisher Copyright: {\textcopyright} 2018 Copyright held by the owner/author(s). Publication rights licensed to ACM.; 16th ACM Conference on Embedded Networked Sensor Systems, SENSYS 2018 ; Conference date: 04-11-2018 Through 07-11-2018",

year = "2018",

month = nov,

day = "4",

doi = "10.1145/3274783.3275167",

language = "English",

series = "SenSys 2018 - Proceedings of the 16th Conference on Embedded Networked Sensor Systems",

publisher = "Association for Computing Machinery, Inc",

pages = "329--330",

booktitle = "SenSys 2018 - Proceedings of the 16th Conference on Embedded Networked Sensor Systems",

}

TY - GEN

T1 - Poster abstract

T2 - 16th ACM Conference on Embedded Networked Sensor Systems, SENSYS 2018

AU - Mikami, Kazuhiro

AU - Chen, Yin

AU - Nakazawa, Jin

PY - 2018/11/4

Y1 - 2018/11/4

N2 - The information of daily garbage diposal can be used to develop many appealing applications in smart cities. This poster introduces DeepCounter, an automotive sensing system to providing a fine-grained spatio-temporal distribution on the amount of disposed garbage bags. In the system, deep learning based image processing is used to automatically count the number of collected garbage bags from the video taken by a camera mounted on the rear of a garbage truck. A prototype system is implemented and experimental evaluation validates the feasibility of our proposal using realistic garbage collection videos in Fujisawa city, Japan.

AB - The information of daily garbage diposal can be used to develop many appealing applications in smart cities. This poster introduces DeepCounter, an automotive sensing system to providing a fine-grained spatio-temporal distribution on the amount of disposed garbage bags. In the system, deep learning based image processing is used to automatically count the number of collected garbage bags from the video taken by a camera mounted on the rear of a garbage truck. A prototype system is implemented and experimental evaluation validates the feasibility of our proposal using realistic garbage collection videos in Fujisawa city, Japan.

KW - Automotive sensing

KW - Deep learning

KW - Image processing

KW - Smart cities

KW - Urban sensing

UR - http://www.scopus.com/inward/record.url?scp=85061752962&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85061752962&partnerID=8YFLogxK

U2 - 10.1145/3274783.3275167

DO - 10.1145/3274783.3275167

M3 - Conference contribution

AN - SCOPUS:85061752962

T3 - SenSys 2018 - Proceedings of the 16th Conference on Embedded Networked Sensor Systems

SP - 329

EP - 330

BT - SenSys 2018 - Proceedings of the 16th Conference on Embedded Networked Sensor Systems

PB - Association for Computing Machinery, Inc

Y2 - 4 November 2018 through 7 November 2018

ER -

Poster abstract: Using deep learning to count garbage bags

抄録

出版物シリーズ

Conference

ASJC Scopus subject areas

UN SDG

文献へのアクセス

他のファイルとリンク

フィンガープリント

引用スタイル