Poster abstract: Using deep learning to count garbage bags

Kazuhiro Mikami, Yin Chen, Jin Nakazawa

研究成果: Conference contribution

2 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
出版ステータスPublished - 2018 11 4
イベント16th ACM Conference on Embedded Networked Sensor Systems, SENSYS 2018 - Shenzhen, China
継続期間: 2018 11 42018 11 7

出版物シリーズ

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

Conference

Conference16th ACM Conference on Embedded Networked Sensor Systems, SENSYS 2018
CountryChina
CityShenzhen
Period18/11/418/11/7

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Computer Networks and Communications

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