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| Presentation | 2011-03-10 15:30 Abnormal Motion Detection Using Temporal and Spatial Infomation Hisashi Mikado, Kazunori Onoguchi (Hirosaki Univ.)  PRMU2010-257 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper presents a method to detect abnormal motion by using spatio-temporal features. At first, silhouette images obtained from the backgrouund subtraction are separated into the upper part and the lower part. Each part is separated into some blocks so that the number of pixels in each block may be distributed equally. Next, the fourier transform is applied to time series data consisting of the pixel density in each block and the motion features are detected. In addition to the motion features, the shape features are detected by calculating the mean and the variance of the pixel density in each block. The classifier using one class SVM is created by leaning feature vectors generated from this process. Our method can detect both dynamic abnormal motions and static ones. In this experiment, walking, running or stopping was detected as normal motion,and the others were abnormal. The validity of the method was confirmed by experimental results. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Abnormal Detection / Discrete Fourier Transform / One Class SVM / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 110, no. 467, PRMU2010-257, pp. 117-122, March 2011. | |
| Paper # | PRMU2010-257 | |
| Date of Issue | 2011-03-03 (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 | PRMU2010-257 |
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| Conference Information | |
| Committee | PRMU |
| Conference Date | 2011-03-10 - 2011-03-11 |
| 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 | 2011-03-PRMU |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Abnormal Motion Detection Using Temporal and Spatial Infomation |
| Sub Title (in English) | |
| Keyword(1) | Abnormal Detection |
| Keyword(2) | Discrete Fourier Transform |
| Keyword(3) | One Class SVM |
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| 1st Author's Name | Hisashi Mikado |
| 1st Author's Affiliation | Hirosaki University (Hirosaki Univ.) |
| 2nd Author's Name | Kazunori Onoguchi |
| 2nd Author's Affiliation | Hirosaki University (Hirosaki Univ.) |
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| Speaker | Author-1 |
| Date Time | 2011-03-10 15:30:00 |
| Presentation Time | 30 minutes |
| Registration for | PRMU |
| Paper # | PRMU2010-257 |
| Volume (vol) | vol.110 |
| Number (no) | no.467 |
| Page | pp.117-122 |
| #Pages | 6 |
| Date of Issue | 2011-03-03 (PRMU) |
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