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| Presentation | 2022-01-21 10:15 A Consideration of Methods for Improving Real-Time Responses in Crowdsourcing Ryuya Itano (Doshisha Univ.), Kantaro Mera, Takahiro Koita (Graduate School of Doshisha Univ.)  CAS2021-62 ICTSSL2021-39 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In recent years, surveillance cameras with high image quality have become widely available at low prices. There is a need for automatic detection of all kinds of crimes from the images of such surveillance cameras. Existing crime detection methods based on computer-aided machine learning cannot learn the detailed movements of criminals, and their accuracy is insufficient. In our previous study, we proposed a crowdsourcing-based crime detection system, however we found that there was a delay until the response was received from the worker. Thus, a higher real-time performance is required for practical use. In this study, we investigate a method to improve the real-time performance of crowdsourcing responses, and evaluate its effectiveness and impact on response quality through experiments. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Crowdsourcing / Crime Detection / Real-Time performance / Human-In-The-Loop / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 326, ICTSSL2021-39, pp. 46-51, Jan. 2022. | |
| Paper # | ICTSSL2021-39 | |
| Date of Issue | 2022-01-13 (CAS, ICTSSL) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | CAS2021-62 ICTSSL2021-39 |
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| Conference Information | |
| Committee | ICTSSL CAS |
| Conference Date | 2022-01-20 - 2022-01-21 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | ICTSSL |
| Conference Code | 2022-01-ICTSSL-CAS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Consideration of Methods for Improving Real-Time Responses in Crowdsourcing |
| Sub Title (in English) | |
| Keyword(1) | Crowdsourcing |
| Keyword(2) | Crime Detection |
| Keyword(3) | Real-Time performance |
| Keyword(4) | Human-In-The-Loop |
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| 1st Author's Name | Ryuya Itano |
| 1st Author's Affiliation | Doshisha University (Doshisha Univ.) |
| 2nd Author's Name | Kantaro Mera |
| 2nd Author's Affiliation | Graduate School of Doshisha University (Graduate School of Doshisha Univ.) |
| 3rd Author's Name | Takahiro Koita |
| 3rd Author's Affiliation | Graduate School of Doshisha University (Graduate School of Doshisha Univ.) |
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| Speaker | Author-1 |
| Date Time | 2022-01-21 10:15:00 |
| Presentation Time | 25 minutes |
| Registration for | ICTSSL |
| Paper # | CAS2021-62, ICTSSL2021-39 |
| Volume (vol) | vol.121 |
| Number (no) | no.325(CAS), no.326(ICTSSL) |
| Page | pp.46-51 |
| #Pages | 6 |
| Date of Issue | 2022-01-13 (CAS, ICTSSL) |
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