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| Presentation | 2011-12-16 09:30 A hierarchical extension of the HOG model implemented in the convolution-net for human detection Yasuto Arakaki, Hayaru Shouno (UEC)  PRMU2011-132 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In the fi eld of the image recognition, HOG model, which is a feature extractor based on the local gradient information of the image, is proposed for a detection of person in images. The HOG model makes a good performance for the pedestrian detection ever though its simple detection mechanism. However, we consider the HOG model has several problems as following: the size of extracted feature dimensions may become large by settings of image dividing parameters．In addition the location and the scale invariances are not satisfi ed the HOG model. In order to overcome these problems, we proposed new model that introduce a concept of the convolution net which was a model of the visual processing system in the brain of the mammals. In order to evaluate of the performance of our proposing model, we use the INRIAPerson Data Set which is pedestrian detection database, and we discussed about recognition performance. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | HOG model / Conbolution-net / Hierarchical HOG model / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 111, no. 353, PRMU2011-132, pp. 41-46, Dec. 2011. | |
| Paper # | PRMU2011-132 | |
| Date of Issue | 2011-12-08 (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 | PRMU2011-132 |
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| Conference Information | |
| Committee | PRMU FM |
| Conference Date | 2011-12-15 - 2011-12-16 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hamamatsu Campus, Shizuoka Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2011-12-PRMU-FM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A hierarchical extension of the HOG model implemented in the convolution-net for human detection |
| Sub Title (in English) | |
| Keyword(1) | HOG model |
| Keyword(2) | Conbolution-net |
| Keyword(3) | Hierarchical HOG model |
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| 1st Author's Name | Yasuto Arakaki |
| 1st Author's Affiliation | The University of Electro-Communications (UEC) |
| 2nd Author's Name | Hayaru Shouno |
| 2nd Author's Affiliation | The University of Electro-Communications (UEC) |
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| Speaker | Author-1 |
| Date Time | 2011-12-16 09:30:00 |
| Presentation Time | 30 minutes |
| Registration for | PRMU |
| Paper # | PRMU2011-132 |
| Volume (vol) | vol.111 |
| Number (no) | no.353 |
| Page | pp.41-46 |
| #Pages | 6 |
| Date of Issue | 2011-12-08 (PRMU) |
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