| Paper Abstract and Keywords |
| Presentation |
2020-11-28 16:05
Recognition of moving objects taken by a wearable camera Tsukasa Kudo (SIST) SWIM2020-12 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
For videos and images, the accuracy of image recognition has been improved by utilizing deep learning, and application fields such as abnormality detection and situation monitoring are rapidly expanding. In some of these application fields, it is necessary to extract the target area by object detection before image recognition. However, it has been shown that there was a problem when both the camera and the target were moving. In this study, we show a way to automatically extract the area of moving target from a video continuously shot by a wearable camera. And, it is shown that the deterioration of accuracy can be suppressed even when the background changes. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
object detection / image recognition / deep learning / wearable camera / video / optical flow / / |
| Reference Info. |
IEICE Tech. Rep., vol. 120, no. 266, SWIM2020-12, pp. 40-45, Nov. 2020. |
| Paper # |
SWIM2020-12 |
| Date of Issue |
2020-11-21 (SWIM) |
| 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 |
SWIM2020-12 |
| Conference Information |
| Committee |
SWIM |
| Conference Date |
2020-11-28 - 2020-11-28 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
|
| Paper Information |
| Registration To |
SWIM |
| Conference Code |
2020-11-SWIM |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Recognition of moving objects taken by a wearable camera |
| Sub Title (in English) |
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| Keyword(1) |
object detection |
| Keyword(2) |
image recognition |
| Keyword(3) |
deep learning |
| Keyword(4) |
wearable camera |
| Keyword(5) |
video |
| Keyword(6) |
optical flow |
| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Tsukasa Kudo |
| 1st Author's Affiliation |
Shizuoka Institute of Science and Technology (SIST) |
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| Speaker |
Author-1 |
| Date Time |
2020-11-28 16:05:00 |
| Presentation Time |
25 minutes |
| Registration for |
SWIM |
| Paper # |
SWIM2020-12 |
| Volume (vol) |
vol.120 |
| Number (no) |
no.266 |
| Page |
pp.40-45 |
| #Pages |
6 |
| Date of Issue |
2020-11-21 (SWIM) |