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| Presentation | 2012-09-02 11:00 A Compensation Method of Motion Features with Regression for Defective Depth Image Ryo Yumiba (Hitachi), Yoshiki Agata, Hironobu Fujiyoshi (Chubu Univ)  PRMU2012-35 IBISML2012-18 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this paper, we propose a method for compensating motion features utilizing regression estimate based on correlation between motion features from deficient human bodies and from entire ones, when recognizing actions from persons whose bodies are partially deficient. This compensation is good for the situation when human bodies are partially protruding around the edge of view angle, and contributes to enlarge region coverage of action recognition. Firstly in the proposed method, motion features and position are calculated from an acting person in a depth image. Secondly, deficit length is calculated protruding out of the view angle, according to the position of the person. Lastly, motion features from an entire body are estimated with regression estimate from the motion features above, selecting regression coefficients according to the deficit length. Effectiveness for improving F-measure is confirmed with three kinds of motion features in a fundamental experiment in a laboratory. In the experimental results when human bodies are deficit from floor level to 600mm above the floor, F-measure is improved by more than 11.1% with the motion feature compensation comparing the case without compensation. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Depth Image / Action Recognition / Regression Estimation / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 112, no. 197, PRMU2012-35, pp. 37-42, Sept. 2012. | |
| Paper # | PRMU2012-35 | |
| Date of Issue | 2012-08-26 (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) | |
| Download PDF | PRMU2012-35 IBISML2012-18 |
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| Conference Information | |
| Committee | PRMU IBISML IPSJ-CVIM |
| Conference Date | 2012-09-02 - 2012-09-03 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2012-09-PRMU-IBISML-CVIM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Compensation Method of Motion Features with Regression for Defective Depth Image |
| Sub Title (in English) | |
| Keyword(1) | Depth Image |
| Keyword(2) | Action Recognition |
| Keyword(3) | Regression Estimation |
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| 1st Author's Name | Ryo Yumiba |
| 1st Author's Affiliation | Hitachi, Ltd. (Hitachi) |
| 2nd Author's Name | Yoshiki Agata |
| 2nd Author's Affiliation | Chubu University (Chubu Univ) |
| 3rd Author's Name | Hironobu Fujiyoshi |
| 3rd Author's Affiliation | Chubu University (Chubu Univ) |
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| Speaker | Author-1 |
| Date Time | 2012-09-02 11:00:00 |
| Presentation Time | 30 minutes |
| Registration for | PRMU |
| Paper # | PRMU2012-35, IBISML2012-18 |
| Volume (vol) | vol.112 |
| Number (no) | no.197(PRMU), no.198(IBISML) |
| Page | pp.37-42 |
| #Pages | 6 |
| Date of Issue | 2012-08-26 (PRMU, IBISML) |
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