@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",
}
