| Paper Abstract and Keywords |
| Presentation |
2024-02-20 14:00
A Study of Action Classification Methods from Videos Using Unsupervised Learning
Ayana Rikimaru (NIT(KOSEN), NC) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
The purpose of this study is to develop a system for automatic surveillance, and to examine whether human behavior in video can be classified into daily or extraordinary behavior. The behavior data is the coordinate data of 18 skeletal points obtained from the video images. Self-organizing maps are used to create the classification maps. Then, we examine whether the system can correctly detect the extraordinary behavior "falling down" when it is input as new data.
As a result, it was possible to detect the " falling down" behavior assuming the extraordinary behavior, but the output difference of the classification map depending on the number of times of learning was also large, and it was found necessary to set an appropriate number of times of learning. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Action Classification / Machine Learning / Unsupervised Learning / Self-Organizing Map / / / / |
| Reference Info. |
ITE Tech. Rep., vol. 48, no. 6, ME2024-46, pp. 148-151, Feb. 2024. |
| Paper # |
ME2024-46 |
| Date of Issue |
2024-02-12 (MMS, ME, AIT) |
| ISSN |
Online edition: ISSN 2424-1970 |
| Download PDF |
|
| Conference Information |
| Committee |
IEICE-ITS IEICE-IE ME AIT MMS |
| Conference Date |
2024-02-19 - 2024-02-20 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Hokkaido Univ. |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Image Processing, etc. |
| Paper Information |
| Registration To |
ME |
| Conference Code |
2024-02-ITS-IE-ME-AIT-MMS |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A Study of Action Classification Methods from Videos Using Unsupervised Learning |
| Sub Title (in English) |
|
| Keyword(1) |
Action Classification |
| Keyword(2) |
Machine Learning |
| Keyword(3) |
Unsupervised Learning |
| Keyword(4) |
Self-Organizing Map |
| Keyword(5) |
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| Keyword(6) |
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| 1st Author's Name |
Ayana Rikimaru |
| 1st Author's Affiliation |
National Institute of Technology(KOSEN), Nagano College (NIT(KOSEN), NC) |
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| Speaker |
Author-1 |
| Date Time |
2024-02-20 14:00:00 |
| Presentation Time |
15 minutes |
| Registration for |
ME |
| Paper # |
MMS2024-30, ME2024-46, AIT2024-30 |
| Volume (vol) |
vol.48 |
| Number (no) |
no.6 |
| Page |
pp.148-151 |
| #Pages |
4 |
| Date of Issue |
2024-02-12 (MMS, ME, AIT) |