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| Presentation | 2014-06-12 09:25 Optimized HOG for database system Mao Hatto, Takaaki Miyajima, Hiroki Matsutani, Hideharu Amano (Keio Univ.)  RECONF2014-3 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | As technology of High Performance Computing and Pattern Recognition has evolved rapidly, Human Detection system also has gathered attention recently. HOG (Histogram of Oriented Gradients) is an effective way for extract feature values. Also, Real Adaboost Algorithm has a good discrernment performance and easiness for implementation. Feature data collected by such kind of human detection system are stored in a database server, and they are expected to apply for security system or some otehr useful application. However, these are some difficulities in the human detection system, which consists HOG feature and Real Adaboost, due to large data of feature values. In this paper, we aim the reduction of feature data with same detection accuracy using fixed-point arithmetic and LUTs(Look Up Table), and high performance execution via FPGA(Field-Programmable Gate Array). |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | HOG / Real Adaboost / FPGA / Human Detection / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 114, no. 75, RECONF2014-3, pp. 11-16, June 2014. | |
| Paper # | RECONF2014-3 | |
| Date of Issue | 2014-06-04 (RECONF) | |
| 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 | RECONF2014-3 |
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| Conference Information | |
| Committee | RECONF |
| Conference Date | 2014-06-11 - 2014-06-12 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Katahira Sakura Hall |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Reconfigurable Systems, etc. |
| Paper Information | |
| Registration To | RECONF |
| Conference Code | 2014-06-RECONF |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Optimized HOG for database system |
| Sub Title (in English) | |
| Keyword(1) | HOG |
| Keyword(2) | Real Adaboost |
| Keyword(3) | FPGA |
| Keyword(4) | Human Detection |
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| 1st Author's Name | Mao Hatto |
| 1st Author's Affiliation | Keio University (Keio Univ.) |
| 2nd Author's Name | Takaaki Miyajima |
| 2nd Author's Affiliation | Keio University (Keio Univ.) |
| 3rd Author's Name | Hiroki Matsutani |
| 3rd Author's Affiliation | Keio University (Keio Univ.) |
| 4th Author's Name | Hideharu Amano |
| 4th Author's Affiliation | Keio University (Keio Univ.) |
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| Speaker | Author-1 |
| Date Time | 2014-06-12 09:25:00 |
| Presentation Time | 25 minutes |
| Registration for | RECONF |
| Paper # | RECONF2014-3 |
| Volume (vol) | vol.114 |
| Number (no) | no.75 |
| Page | pp.11-16 |
| #Pages | 6 |
| Date of Issue | 2014-06-04 (RECONF) |
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