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| Presentation | 2014-03-13 15:30 Accuracy improvement of pedestrian detection from in-vehicle camera images based on environment adaptation using location information Daichi Suzuo, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Hiroyuki Ishida, Yoshiko Kojima (Toyota Central R&D Labs)  PRMU2013-187 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Recently, pedestrian detection techniques from in-vehicle camera images is being focused. However, since the environment observed in the in-vehicle camera images varies largely, it is difficult to detect pedestrians accurately by previous works is trained for a specific environment. Therefore this paper proposes an accurate pedestian detection method that can adapt to various environments. The concept consists of construction of environment-specific classifiers and detection of pedestrians using an environment-specific classifier. To achieve this, in-vehicle camera images are categorized into multiple environments that are classified by clustering of image features, where each environment is associated with locations and directions. Then, environment-specific classifiers are constructed and pedestrians are detected by selecting an optimal classifier. To evaluate the effectiveness of the proposed method, an experiment was conducted by applying the proposed method to actual in-vehicle camera images. As a result, the accuracy of the proposed method was remarkably improved compared with the non-adaptive methods, and the effectiveness of the proposed method was confirmed. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | pedestrian detection / adaptive detector / ITS / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 113, no. 493, PRMU2013-187, pp. 115-120, March 2014. | |
| Paper # | PRMU2013-187 | |
| Date of Issue | 2014-03-06 (PRMU) | |
| 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 | PRMU2013-187 |
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| Conference Information | |
| Committee | PRMU |
| Conference Date | 2014-03-13 - 2014-03-14 |
| 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 | 2014-03-PRMU |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Accuracy improvement of pedestrian detection from in-vehicle camera images based on environment adaptation using location information |
| Sub Title (in English) | |
| Keyword(1) | pedestrian detection |
| Keyword(2) | adaptive detector |
| Keyword(3) | ITS |
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| 1st Author's Name | Daichi Suzuo |
| 1st Author's Affiliation | Nagoya University (Nagoya Univ.) |
| 2nd Author's Name | Daisuke Deguchi |
| 2nd Author's Affiliation | Nagoya University (Nagoya Univ.) |
| 3rd Author's Name | Ichiro Ide |
| 3rd Author's Affiliation | Nagoya University (Nagoya Univ.) |
| 4th Author's Name | Hiroshi Murase |
| 4th Author's Affiliation | Nagoya University (Nagoya Univ.) |
| 5th Author's Name | Hiroyuki Ishida |
| 5th Author's Affiliation | Toyota Central Research and Development Laboratories, Inc. (Toyota Central R&D Labs) |
| 6th Author's Name | Yoshiko Kojima |
| 6th Author's Affiliation | Toyota Central Research and Development Laboratories, Inc. (Toyota Central R&D Labs) |
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| Speaker | Author-1 |
| Date Time | 2014-03-13 15:30:00 |
| Presentation Time | 30 minutes |
| Registration for | PRMU |
| Paper # | PRMU2013-187 |
| Volume (vol) | vol.113 |
| Number (no) | no.493 |
| Page | pp.115-120 |
| #Pages | 6 |
| Date of Issue | 2014-03-06 (PRMU) |
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