| Paper Abstract and Keywords |
| Presentation |
2017-01-20 15:35
Cooking Gesture Recognition based on Spatio-Temporal Histogram of Oriented Gradient Features Seiji Kojima, Wataru Ohyama, Tetsushi Wakabayashi (Mie Univ.) PRMU2016-145 MVE2016-36 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In this research, we propose a cooking gesture recognition method.
The outline of this research is as follows,
(1) Actors cook one of preliminary determined menus.
%(1) There are determined menues and the cook cooks one menu.
(2) Sequential gestures of their cooking are captured as image sequences,and these sequences are given as a training data.
(3) Each frame of training data is annotated by a cooking gesture label.
(4) In the proposed method,classifier are trained using frame images in training data, and labels of cooking gesture are assigned to each frame of the input cooking images.
In the proposed method, the test data is recognized by SVM using spatio-temporal HOG features which extended HOG features in the time domein.
We evaluated the performance using Kitchen Scene Context based Gesture Recognition (KSCGR) data set.
As a result of the evaluation, the recognition accuracy of 76.5% is obtained and the KSCGR evaluation score achieves 71.5%. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
cooking gesture recognition / spatio-temporal HOG features / SVM / / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 116, no. 411, PRMU2016-145, pp. 315-319, Jan. 2017. |
| Paper # |
PRMU2016-145 |
| Date of Issue |
2017-01-12 (PRMU, MVE) |
| 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 |
PRMU2016-145 MVE2016-36 |
| Conference Information |
| Committee |
PRMU IPSJ-CVIM MVE |
| Conference Date |
2017-01-19 - 2017-01-20 |
| 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 |
2017-01-PRMU-CVIM-MVE |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Cooking Gesture Recognition based on Spatio-Temporal Histogram of Oriented Gradient Features |
| Sub Title (in English) |
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| Keyword(1) |
cooking gesture recognition |
| Keyword(2) |
spatio-temporal HOG features |
| Keyword(3) |
SVM |
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| 1st Author's Name |
Seiji Kojima |
| 1st Author's Affiliation |
Mie University (Mie Univ.) |
| 2nd Author's Name |
Wataru Ohyama |
| 2nd Author's Affiliation |
Mie University (Mie Univ.) |
| 3rd Author's Name |
Tetsushi Wakabayashi |
| 3rd Author's Affiliation |
Mie University (Mie Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2017-01-20 15:35:00 |
| Presentation Time |
25 minutes |
| Registration for |
PRMU |
| Paper # |
PRMU2016-145, MVE2016-36 |
| Volume (vol) |
vol.116 |
| Number (no) |
no.411(PRMU), no.412(MVE) |
| Page |
pp.315-319 |
| #Pages |
5 |
| Date of Issue |
2017-01-12 (PRMU, MVE) |