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| Paper Abstract and Keywords | ||
| Presentation | 2019-12-05 13:55 An Circular Road Signs Extraction Method for Accelerating Object Detection System Fang Yin, Kentaro Katayama, Eiji Yoshida (Fujitsu Lab)  CS2019-77 IE2019-57 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Cyber-physical system (CPS) becomes realistic with the development of sensing technology and pattern recognition technology. There is a typical example that dynamic map could display the traffic information dynamically. In dynamic map construction, objects are recognized based on the information from each vehicle’s camera and sensor, and recognition results from each vehicle are aggregated and mapped dynamically. Since objects recognition requires a large amount of computing resources, there is a problem that memory capacity and processing capability are insufficient while performing all processing by edge device such as in-vehicle computer. Furthermore, low bandwidth is also a problem while transmitting a large amount of data in the data transfer architecture from in-vehicle to cloud. Therefore, our research efforts focus on the architecture which extracts the shape of objects by edge device, and recognize objects by cloud to reduce network bandwidth. This paper reports the results of proposed fast circular road signs extraction method by the edge device. We extract a candidate region by color filter in HSV space, and detect the center of a circle by only 4 lines input buffer. The experimental result shows our proposed method is 11.5 times faster than the conventional one. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Cyber-Physical System / Edge Computing / Image Processing / Artificial Intelligence / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 324, IE2019-57, pp. 41-46, Dec. 2019. | |
| Paper # | IE2019-57 | |
| Date of Issue | 2019-11-28 (CS, IE) | |
| 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 | CS2019-77 IE2019-57 |
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| Conference Information | |
| Committee | IE CS IPSJ-AVM ITE-BCT |
| Conference Date | 2019-12-05 - 2019-12-06 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Aiina Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Image coding, Communications and streaming technologies, etc. |
| Paper Information | |
| Registration To | IE |
| Conference Code | 2019-12-IE-CS-AVM-BCT |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An Circular Road Signs Extraction Method for Accelerating Object Detection System |
| Sub Title (in English) | |
| Keyword(1) | Cyber-Physical System |
| Keyword(2) | Edge Computing |
| Keyword(3) | Image Processing |
| Keyword(4) | Artificial Intelligence |
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| 1st Author's Name | Fang Yin |
| 1st Author's Affiliation | Fujitsu Laboratories LTD (Fujitsu Lab) |
| 2nd Author's Name | Kentaro Katayama |
| 2nd Author's Affiliation | Fujitsu Laboratories LTD (Fujitsu Lab) |
| 3rd Author's Name | Eiji Yoshida |
| 3rd Author's Affiliation | Fujitsu Laboratories LTD (Fujitsu Lab) |
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| Speaker | Author-1 |
| Date Time | 2019-12-05 13:55:00 |
| Presentation Time | 25 minutes |
| Registration for | IE |
| Paper # | CS2019-77, IE2019-57 |
| Volume (vol) | vol.119 |
| Number (no) | no.323(CS), no.324(IE) |
| Page | pp.41-46 |
| #Pages | 6 |
| Date of Issue | 2019-11-28 (CS, IE) |
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