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| Presentation | 2011-01-21 10:25 Quantification of the Visibility of Pedestrians Based on Integration of Local and Global Features Masashi Wakayama, Keisuke Doman, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Yukimasa Tamatsu (DENSO)  PRMU2010-179 MVE2010-104 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper proposes a method to quantify the visibility of pedestrians using in-vehicle camera. Since many driver assistance systems have been developed, various information can be presented to the drivers. If too much information is presented, their attention may decrease due to the limitation of processing ability of the driver. Therefore, mechanisms for providing appropriate information are needed. One of the solution to this problem is to present drivers only information that is difficlut to recognize. And it is considered that the visibility is one of the most important factor for recognition. Therefore, we focus on estimating the visibility of pedestrians to avoid pedestrian-car accidents. In this paper, we calculate two different features based on a visual search model, then combine them to evaluate the visibility of pedestrians. And we evaluate the performance of the proposed method. The experimental result showed that the proposed method could obtain 97 percent at maximum in coincidence rate. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Quantification of the visibility / Pedestrian / In-vehicle camera / Image feature / Saliency map / ITS / / | |
| Reference Info. | IEICE Tech. Rep., vol. 110, no. 381, PRMU2010-179, pp. 253-258, Jan. 2011. | |
| Paper # | PRMU2010-179 | |
| Date of Issue | 2011-01-13 (PRMU, MVE) | |
| ISSN | Print edition: ISSN 0913-5685 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 | PRMU2010-179 MVE2010-104 |
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| Conference Information | |
| Committee | PRMU MVE IPSJ-CVIM |
| Conference Date | 2011-01-20 - 2011-01-21 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2011-01-PRMU-MVE-CVIM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Quantification of the Visibility of Pedestrians Based on Integration of Local and Global Features |
| Sub Title (in English) | |
| Keyword(1) | Quantification of the visibility |
| Keyword(2) | Pedestrian |
| Keyword(3) | In-vehicle camera |
| Keyword(4) | Image feature |
| Keyword(5) | Saliency map |
| Keyword(6) | ITS |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Masashi Wakayama |
| 1st Author's Affiliation | Nagoya University (Nagoya Univ.) |
| 2nd Author's Name | Keisuke Doman |
| 2nd Author's Affiliation | Nagoya University (Nagoya Univ.) |
| 3rd Author's Name | Daisuke Deguchi |
| 3rd Author's Affiliation | Nagoya University (Nagoya Univ.) |
| 4th Author's Name | Ichiro Ide |
| 4th Author's Affiliation | Nagoya University (Nagoya Univ.) |
| 5th Author's Name | Hiroshi Murase |
| 5th Author's Affiliation | Nagoya University (Nagoya Univ.) |
| 6th Author's Name | Yukimasa Tamatsu |
| 6th Author's Affiliation | DENSO CORPORATION (DENSO) |
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| Speaker | Author-1 |
| Date Time | 2011-01-21 10:25:00 |
| Presentation Time | 25 minutes |
| Registration for | PRMU |
| Paper # | PRMU2010-179, MVE2010-104 |
| Volume (vol) | vol.110 |
| Number (no) | no.381(PRMU), no.382(MVE) |
| Page | pp.253-258 |
| #Pages | 6 |
| Date of Issue | 2011-01-13 (PRMU, MVE) |
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