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| Presentation | 2020-12-01 14:50 A Study on Queue Area Detection Using Person Recognition and Tracking Ningyuan Li, Johei Matsuoka, Kazuya Tago (Tokyo Univ. of Tec.)  SIS2020-33 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The purpose of this study is to realize the measurement of the number of people in the queue by proposing a method for detecting the person's queue area from an arbitrarily installed fixed camera video using person recognition and tracking. Previously, when measuring the number of people in the queue from the video, a method for counting all the people in the camera region has already been proposed. However, since this method treats passersby around the queue as person in the queue, the number of waiting people is erroneously added. In this study, we propose a method for measuring the number of waiting person in a queue to reduce erroneous addition by remove the passersby around the queue using person recognition and tracking. The effectiveness of the proposed method was confirmed by a comparative experiment with the conventional method using video from an actual fixed camera. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Queuing Area Detection / Queuing Person Counting / Image Recognition / Object Detection / Target Tracking / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 269, SIS2020-33, pp. 31-34, Dec. 2020. | |
| Paper # | SIS2020-33 | |
| Date of Issue | 2020-11-24 (SIS) | |
| 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 | SIS2020-33 |
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| Conference Information | |
| Committee | SIS |
| Conference Date | 2020-12-01 - 2020-12-01 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Smart Personal Systems, etc. |
| Paper Information | |
| Registration To | SIS |
| Conference Code | 2020-12-SIS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Queue Area Detection Using Person Recognition and Tracking |
| Sub Title (in English) | |
| Keyword(1) | Queuing Area Detection |
| Keyword(2) | Queuing Person Counting |
| Keyword(3) | Image Recognition |
| Keyword(4) | Object Detection |
| Keyword(5) | Target Tracking |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Ningyuan Li |
| 1st Author's Affiliation | Tokyo University of Technology (Tokyo Univ. of Tec.) |
| 2nd Author's Name | Johei Matsuoka |
| 2nd Author's Affiliation | Tokyo University of Technology (Tokyo Univ. of Tec.) |
| 3rd Author's Name | Kazuya Tago |
| 3rd Author's Affiliation | Tokyo University of Technology (Tokyo Univ. of Tec.) |
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| Speaker | Author-1 |
| Date Time | 2020-12-01 14:50:00 |
| Presentation Time | 25 minutes |
| Registration for | SIS |
| Paper # | SIS2020-33 |
| Volume (vol) | vol.120 |
| Number (no) | no.269 |
| Page | pp.31-34 |
| #Pages | 4 |
| Date of Issue | 2020-11-24 (SIS) |
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