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| Presentation | 2021-01-21 16:00 [Poster Presentation] Object Number Recognition Using OpenCV Based on Object Detection Sensor Response Yuto Ohashi, Shino Shiraki, Takuhiro Uehara, Shigeo Shioda (Chiba Univ.)  CQ2020-78 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper discusses a technique for automatically recognizing the number of objects in a monitoring area based on sensor responses. Specifically, we converted sensor responses into images, and conducted an experiment to estimate the number of objects using OpenCV (Open Source Computer Vision Library), an open source library developed and released by Intel. In order to obtain the number of objects in a monitoring area from sensor images, it is necessary to recognize the sensor responses to a single object as a set. In this paper, we consider a method of automatically obtaining information such as the number of objects in a monitoring area by enlarging the points showing sensor reactions using the morphological transformation, one of the functions of OpenCV, and using the sensor reactions to one object as an aggregate. The effectiveness of this method is demonstrated by simulation experiments. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | sensors / geotagged / localization / environment sensing / non-linear optimization / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 314, CQ2020-78, pp. 70-71, Jan. 2021. | |
| Paper # | CQ2020-78 | |
| Date of Issue | 2021-01-13 (CQ) | |
| 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 | CQ2020-78 |
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| Conference Information | |
| Committee | CQ CBE |
| Conference Date | 2021-01-20 - 2021-01-22 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | AR/VR, Broadcasting Service, Video/Voice Services Quality, High Realistic, User Behavior/Psychology, User Experience, Media Quality, Network Quality and QoS Control, Networks and Communications at Disaster, User Behavior, Machine Learning, Video Communication, etc. |
| Paper Information | |
| Registration To | CQ |
| Conference Code | 2021-01-CQ-CBE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Object Number Recognition Using OpenCV Based on Object Detection Sensor Response |
| Sub Title (in English) | |
| Keyword(1) | sensors |
| Keyword(2) | geotagged |
| Keyword(3) | localization |
| Keyword(4) | environment sensing |
| Keyword(5) | non-linear optimization |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Yuto Ohashi |
| 1st Author's Affiliation | Chiba University (Chiba Univ.) |
| 2nd Author's Name | Shino Shiraki |
| 2nd Author's Affiliation | Chiba University (Chiba Univ.) |
| 3rd Author's Name | Takuhiro Uehara |
| 3rd Author's Affiliation | Chiba University (Chiba Univ.) |
| 4th Author's Name | Shigeo Shioda |
| 4th Author's Affiliation | Chiba University (Chiba Univ.) |
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| Speaker | Author-1 |
| Date Time | 2021-01-21 16:00:00 |
| Presentation Time | 45 minutes |
| Registration for | CQ |
| Paper # | CQ2020-78 |
| Volume (vol) | vol.120 |
| Number (no) | no.314 |
| Page | pp.70-71 |
| #Pages | 2 |
| Date of Issue | 2021-01-13 (CQ) |
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