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| Presentation | 2008-12-19 14:15 Context-based Robust Face Detection Algorithm for Surveillance Cameras Shotaro Miwa, Hiroshi Kage, Kazuhiko Sumi (Mitsubishi Electric Corp.)  PRMU2008-181 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper describes a context-based robust face detection framework for surveillance cameras. Different from familiar faces in our daily lives, faces captured by surveillance cameras are smaller and darker with motion-blurs and distortions. Furthermore from cameras upward, e.g. on ceilings, faces are downward and partially unseen from cameras. To detect such various directed and degraded faces, we utilize contextual information about faces of walking people in surveillance cameras. We built a probabilistic detection framework combining a face detector with contextual information. Firstly we use a boosted face detector to calculate a primary probability distribution of possible face regions. After this fast filtering to select small amount of possible face regions, we use a HoG feature-based outline detector to calculate a conditional probability from neighboring regions. Combining those two detector-based probabilities with probability of face sizes estimated from a camera configuration, we achieved a high face detection rate of 93.7 % with about 1,000 times lower false positive rate than one in the case of only face detector as well as keeping computational efficiency of the boosted face detector. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | contextual information / surveillance camera / face detection / HoG feature / Haar-like feature / AdaBoost / / | |
| Reference Info. | IEICE Tech. Rep., vol. 108, no. 363, PRMU2008-181, pp. 201-206, Dec. 2008. | |
| Paper # | PRMU2008-181 | |
| Date of Issue | 2008-12-11 (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 | PRMU2008-181 |
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| Conference Information | |
| Committee | PRMU |
| Conference Date | 2008-12-18 - 2008-12-19 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kumamoto Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2008-12-PRMU |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Context-based Robust Face Detection Algorithm for Surveillance Cameras |
| Sub Title (in English) | |
| Keyword(1) | contextual information |
| Keyword(2) | surveillance camera |
| Keyword(3) | face detection |
| Keyword(4) | HoG feature |
| Keyword(5) | Haar-like feature |
| Keyword(6) | AdaBoost |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Shotaro Miwa |
| 1st Author's Affiliation | Mitsubishi Electric Corp. (Mitsubishi Electric Corp.) |
| 2nd Author's Name | Hiroshi Kage |
| 2nd Author's Affiliation | Mitsubishi Electric Corp. (Mitsubishi Electric Corp.) |
| 3rd Author's Name | Kazuhiko Sumi |
| 3rd Author's Affiliation | Mitsubishi Electric Corp. (Mitsubishi Electric Corp.) |
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| Speaker | Author-1 |
| Date Time | 2008-12-19 14:15:00 |
| Presentation Time | 30 minutes |
| Registration for | PRMU |
| Paper # | PRMU2008-181 |
| Volume (vol) | vol.108 |
| Number (no) | no.363 |
| Page | pp.201-206 |
| #Pages | 6 |
| Date of Issue | 2008-12-11 (PRMU) |
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