| Paper Abstract and Keywords |
| Presentation |
2022-01-28 13:35
A Feature Data Distribution Method for Human Tracking on Multiple Cameras Systems Satoru Matsumoto, Tomoki Yoshihisa (Osaka Univ.) IA2021-53 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Due to the recent prevalence of security cameras, cameras are deployed at many locations. One of the applications using these cameras is human tracking. In most of the systems, cameras send feature data such as images or feature values of recorded humans to a processing server. The server identifies recorded humans by comparing the feature data. However, the loads for processing and communication on the server increase in proportional to the number of cameras since all of them send their feature data to the server. Human identification, without the server’s load increase even if the number of cameras increases, enables real-time human tracking. Hence, in this research, we propose a human tracking scheme in which feature data are transmitted among cameras. In the proposed scheme, the server’s load does not increase in proportional to the number of cameras since the loads do not concentrate on it. When humans are recorded after the transmissions of feature data, cameras can identify recorded humans. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
security camera / feature data / processing server / peer-to-peer / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 121, no. 364, IA2021-53, pp. 1-4, Jan. 2022. |
| Paper # |
IA2021-53 |
| Date of Issue |
2022-01-21 (IA) |
| 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 |
IA2021-53 |
| Conference Information |
| Committee |
IA |
| Conference Date |
2022-01-28 - 2022-01-28 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Kikai-Shinko-Kaikan Bldg. |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Sensor Network, IoT, M2M, etc. |
| Paper Information |
| Registration To |
IA |
| Conference Code |
2022-01-IA |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A Feature Data Distribution Method for Human Tracking on Multiple Cameras Systems |
| Sub Title (in English) |
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| Keyword(1) |
security camera |
| Keyword(2) |
feature data |
| Keyword(3) |
processing server |
| Keyword(4) |
peer-to-peer |
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| 1st Author's Name |
Satoru Matsumoto |
| 1st Author's Affiliation |
Osaka University (Osaka Univ.) |
| 2nd Author's Name |
Tomoki Yoshihisa |
| 2nd Author's Affiliation |
Osaka University (Osaka Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2022-01-28 13:35:00 |
| Presentation Time |
25 minutes |
| Registration for |
IA |
| Paper # |
IA2021-53 |
| Volume (vol) |
vol.121 |
| Number (no) |
no.364 |
| Page |
pp.1-4 |
| #Pages |
4 |
| Date of Issue |
2022-01-21 (IA) |