Paper Abstract and Keywords |
Presentation |
2009-12-18 14:30
A Hardware-Friendly Object Detection Algorithm Based on Variable-Block-Size Edge Histograms Takashi Miyoshi, Tadashi Shibata (Univ. of Tokyo.) PRMU2009-151 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The paper presents an object localization algorithm based on the directional-edge information and discusses its hardware implementation.
Since such directional-edge information is utilized in early visual processing in the brain, it is expected that we can build a robust object detection system.A feature detector with a higher accuracy has been produced by adopting the AdaBoost algorithm, which allows us to extract only important information from an input image.In addition, we proposed three methods for generating feature vectors and compared their performances.To evaluate these methods, we focused on pedestrian detection.In the experiment, we verified that this system is more accurate than the conventional method with directional edge information. At the end of this paper, we will explain that the system can be implemented in a simple architecture VLSI hardware because edge information is a very primitive quantity. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Object Detection / Hardware / Directional Edge / Adaboost / Feature Vector / Pedestrian Detection / / |
Reference Info. |
IEICE Tech. Rep., vol. 109, no. 344, PRMU2009-151, pp. 71-76, Dec. 2009. |
Paper # |
PRMU2009-151 |
Date of Issue |
2009-12-10 (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) |
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PRMU2009-151 |
Conference Information |
Committee |
PRMU |
Conference Date |
2009-12-17 - 2009-12-18 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Fujihara Cultural Center |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
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Paper Information |
Registration To |
PRMU |
Conference Code |
2009-12-PRMU |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Hardware-Friendly Object Detection Algorithm Based on Variable-Block-Size Edge Histograms |
Sub Title (in English) |
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Keyword(1) |
Object Detection |
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Hardware |
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Directional Edge |
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Adaboost |
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Feature Vector |
Keyword(6) |
Pedestrian Detection |
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1st Author's Name |
Takashi Miyoshi |
1st Author's Affiliation |
The University of Tokyo (Univ. of Tokyo.) |
2nd Author's Name |
Tadashi Shibata |
2nd Author's Affiliation |
The University of Tokyo (Univ. of Tokyo.) |
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Speaker |
Author-1 |
Date Time |
2009-12-18 14:30:00 |
Presentation Time |
30 minutes |
Registration for |
PRMU |
Paper # |
PRMU2009-151 |
Volume (vol) |
vol.109 |
Number (no) |
no.344 |
Page |
pp.71-76 |
#Pages |
6 |
Date of Issue |
2009-12-10 (PRMU) |
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