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Paper Abstract and Keywords
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
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
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

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  
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 
Date of Issue 2021-01-13 (CQ) 

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