Paper Abstract and Keywords |
Presentation |
2013-09-03 09:30
Reducing False Positive Rate for Viola-Jones Method in Hand Detection Shuqiong Wu, Hiroshi Nagahashi (Tokyo Inst. of Tech.) PRMU2013-45 IBISML2013-25 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The Viola-Jones object detector is a machine learning based method which combines Haar-like features with AdaBoost classifier. It is known that this method is the mainstream in face detections due to its high performance of both detection speed and precision. However, the false positive rate increases dramatically when this approach is applied to detect hands in a sign language video which includes other skin color parts such as faces or arms. In this paper, we analyze the reason for mis-detecting of these points and propose a new method to reduce the false positive rate. Experimental results have shown that our method is more robust to hand motion and decreases the false positive rate significantly. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Viola-Jones / Machine Learning / AdaBoost / Haar-like features / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 113, no. 196, PRMU2013-45, pp. 149-153, Sept. 2013. |
Paper # |
PRMU2013-45 |
Date of Issue |
2013-08-26 (PRMU, IBISML) |
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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PRMU2013-45 IBISML2013-25 |
Conference Information |
Committee |
PRMU IBISML IPSJ-CVIM |
Conference Date |
2013-09-02 - 2013-09-03 |
Place (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
PRMU |
Conference Code |
2013-09-PRMU-IBISML-CVIM |
Language |
English |
Title (in Japanese) |
(See Japanese page) |
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(See Japanese page) |
Title (in English) |
Reducing False Positive Rate for Viola-Jones Method in Hand Detection |
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Viola-Jones |
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Machine Learning |
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AdaBoost |
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Haar-like features |
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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 |
2013-09-03 09:30:00 |
Presentation Time |
30 minutes |
Registration for |
PRMU |
Paper # |
PRMU2013-45, IBISML2013-25 |
Volume (vol) |
vol.113 |
Number (no) |
no.196(PRMU), no.197(IBISML) |
Page |
pp.149-153 |
#Pages |
5 |
Date of Issue |
2013-08-26 (PRMU, IBISML) |
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