| Paper Abstract and Keywords |
| Presentation |
2014-06-20 10:00
A novel preprocessing technique for training Viola-Jones hand detector Shuqiong Wu, Hiroshi Nagahashi (Tokyo Inst. of Tech.) PRMU2014-28 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Viola-Jones method combines Haar-like features with AdaBoost classifier. It is widely used in real time object detection due to its high performance and rapidity. Viola-Jones method has achieved considerable success in face detection. However, when it is applied to hand detection, the false positive rate is rather high. Compared with face training samples which contain little background area, hand training samples include diverse backgrounds. Therefore it is substantially difficult to find common hand features in the training of hand detectors. To solve this problem, we propose a novel preprocessing technique which can reduce the bad influence of backgrounds included in hand training samples. Experimental results show that our method needs far less training samples than Viola-Jones method and improves the false positive rate significantly. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Hand detection / Machine learning / Viola-Jones method / Haar-like features / AdaBoost / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 114, no. 90, PRMU2014-28, pp. 37-41, June 2014. |
| Paper # |
PRMU2014-28 |
| Date of Issue |
2014-06-12 (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 |
PRMU2014-28 |
| Conference Information |
| Committee |
PRMU |
| Conference Date |
2014-06-19 - 2014-06-20 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
|
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
PRMU |
| Conference Code |
2014-06-PRMU |
| Language |
English |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A novel preprocessing technique for training Viola-Jones hand detector |
| Sub Title (in English) |
|
| Keyword(1) |
Hand detection |
| Keyword(2) |
Machine learning |
| Keyword(3) |
Viola-Jones method |
| Keyword(4) |
Haar-like features |
| Keyword(5) |
AdaBoost |
| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Shuqiong Wu |
| 1st Author's Affiliation |
Tokyo Institute of Technology (Tokyo Inst. of Tech.) |
| 2nd Author's Name |
Hiroshi Nagahashi |
| 2nd Author's Affiliation |
Tokyo Institute of Technology (Tokyo Inst. of Tech.) |
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| Speaker |
Author-1 |
| Date Time |
2014-06-20 10:00:00 |
| Presentation Time |
30 minutes |
| Registration for |
PRMU |
| Paper # |
PRMU2014-28 |
| Volume (vol) |
vol.114 |
| Number (no) |
no.90 |
| Page |
pp.37-41 |
| #Pages |
5 |
| Date of Issue |
2014-06-12 (PRMU) |