| IEICE Technical Committee Submission System Conference Paper's Information |
Online Proceedings [Sign in] Tech. Rep. Archives |
| Go Top Page | Go Previous | [Japanese] / [English] |
| Paper Abstract and Keywords | ||
| Presentation | 2020-05-29 15:10 Distant pedestrian detection from nighttime NIR video by moving-region zooming Atsuki Hiramatsu, Yusuke Kameda (TUS), Hiroshi Ikeoka (Fukuyama Univ.), Takayuki Hamamoto (TUS)  SIP2020-16 BioX2020-16 IE2020-16 MI2020-16 |
|
| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Highly accurate pedestrian detection technology is required for functions such as automatic emergency braking, which are important in preventing traffic accidents and reducing damage. Visible light cameras are generally used for pedestrian detection. However, there is a problem that clear images cannot be captured in low-light environments such as at night. On the other hand, the combination of near-infrared (NIR) camera and near-infrared light can capture clear images even in low-light environments. Thus it is expected to develop the pedestrian detection technology using them. Previous studies on pedestrian detection from NIR images include methods using deep convolutional neural networks (CNN) with real-time computation and high detection accuracy. However, it is difficult to detect distant pedestrians in small areas of the image because convolution and pooling are combined in the previous study CNN. In this paper, we propose a method to equalize the apparent size of distant pedestrians as preprocessing of CNN input. Specifically, it extracts the time-varying pixels from the input consecutive frames and adaptively chooses the pixel blocks to be enlarged. We aim to improve the accuracy of pedestrian detection in the postprocessing by inputting the enlarged image to the CNN. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | vehicle-mounted camera / pedestrian detection / near-infrared image / CNN / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 39, IE2020-16, pp. 79-83, May 2020. | |
| Paper # | IE2020-16 | |
| Date of Issue | 2020-05-21 (SIP, BioX, IE, MI) | |
| 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 | SIP2020-16 BioX2020-16 IE2020-16 MI2020-16 |
|
| Conference Information | |
| Committee | MI IE SIP BioX ITE-IST ITE-ME |
| Conference Date | 2020-05-28 - 2020-05-29 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Image and signal processing/analysis/AI technology, and their application |
| Paper Information | |
| Registration To | IE |
| Conference Code | 2020-05-MI-IE-SIP-BioX-IST-ME |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Distant pedestrian detection from nighttime NIR video by moving-region zooming |
| Sub Title (in English) | |
| Keyword(1) | vehicle-mounted camera |
| Keyword(2) | pedestrian detection |
| Keyword(3) | near-infrared image |
| Keyword(4) | CNN |
| Keyword(5) | |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Atsuki Hiramatsu |
| 1st Author's Affiliation | Tokyo University of Science (TUS) |
| 2nd Author's Name | Yusuke Kameda |
| 2nd Author's Affiliation | Tokyo University of Science (TUS) |
| 3rd Author's Name | Hiroshi Ikeoka |
| 3rd Author's Affiliation | Fukuyama University (Fukuyama Univ.) |
| 4th Author's Name | Takayuki Hamamoto |
| 4th Author's Affiliation | Tokyo University of Science (TUS) |
| 5th Author's Name | |
| 5th Author's Affiliation | () |
| 6th Author's Name | |
| 6th Author's Affiliation | () |
| 7th Author's Name | |
| 7th Author's Affiliation | () |
| 8th Author's Name | |
| 8th Author's Affiliation | () |
| 9th Author's Name | |
| 9th Author's Affiliation | () |
| 10th Author's Name | |
| 10th Author's Affiliation | () |
| 11th Author's Name | |
| 11th Author's Affiliation | () |
| 12th Author's Name | |
| 12th Author's Affiliation | () |
| 13th Author's Name | |
| 13th Author's Affiliation | () |
| 14th Author's Name | |
| 14th Author's Affiliation | () |
| 15th Author's Name | |
| 15th Author's Affiliation | () |
| 16th Author's Name | |
| 16th Author's Affiliation | () |
| 17th Author's Name | |
| 17th Author's Affiliation | () |
| 18th Author's Name | |
| 18th Author's Affiliation | () |
| Speaker | Author-1 |
| Date Time | 2020-05-29 15:10:00 |
| Presentation Time | 20 minutes |
| Registration for | IE |
| Paper # | SIP2020-16, BioX2020-16, IE2020-16, MI2020-16 |
| Volume (vol) | vol.120 |
| Number (no) | no.38(SIP), no.37(BioX), no.39(IE), no.40(MI) |
| Page | pp.79-83 |
| #Pages | 5 |
| Date of Issue | 2020-05-21 (SIP, BioX, IE, MI) |
[Return to Top Page]