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| Presentation | 2015-07-02 14:50 [Invited Talk] Object Recognition with Depth Image by Machine Learning Hironobu Fujiyoshi (Chubu Univ.)  ICD2015-17 Link to ES Tech. Rep. Archives: ICD2015-17 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper presents object recognition with point cloud and depth images, and its trends. There have been many various researches with depth information for detecting human, analyzing human flow, and recognizing action. In this paper, we report that machine learning with depth images obtains better performance than that with gray-scale images. We also present a human pose estimation method used for practical application such as gesture interaction, and discuss trends in depth image processing. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | depth image / point cloud / machine learning / object detection / action recognition / human pose estimation / / | |
| Reference Info. | IEICE Tech. Rep., vol. 115, no. 124, ICD2015-17, pp. 13-18, July 2015. | |
| Paper # | ICD2015-17 | |
| Date of Issue | 2015-06-25 (ICD) | |
| 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 | ICD2015-17 Link to ES Tech. Rep. Archives: ICD2015-17 |
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| Conference Information | |
| Committee | ICD ITE-IST |
| Conference Date | 2015-07-02 - 2015-07-03 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | National Defense Academy |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Analog, Mixed Analog and Digital, RF, and Sensor Interface Circuitry |
| Paper Information | |
| Registration To | ICD |
| Conference Code | 2015-07-ICD-IST |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Object Recognition with Depth Image by Machine Learning |
| Sub Title (in English) | |
| Keyword(1) | depth image |
| Keyword(2) | point cloud |
| Keyword(3) | machine learning |
| Keyword(4) | object detection |
| Keyword(5) | action recognition |
| Keyword(6) | human pose estimation |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Hironobu Fujiyoshi |
| 1st Author's Affiliation | Chubu University (Chubu Univ.) |
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| Speaker | Author-1 |
| Date Time | 2015-07-02 14:50:00 |
| Presentation Time | 50 minutes |
| Registration for | ICD |
| Paper # | ICD2015-17 |
| Volume (vol) | vol.115 |
| Number (no) | no.124 |
| Page | pp.13-18 |
| #Pages | 6 |
| Date of Issue | 2015-06-25 (ICD) |
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