Presentation | 2014-03-06 Abnormal Scene Extraction in Machinery Operation using Spatio-temporal Feature and Unsupervised Learning Hiromitsu KOBAYASHI, Kota AOKI, Hiroshi NAGAHASHI, |
---|---|
PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper proposes a new method for extracting abnormal scene in the video of periodic machinery operations. Firstly, we segment the video into periods and extract STIPs (Space-time Interest Points). Then, we examine frequency of appearance of STIPs to determine ROIs (regions of interest). After the calculation of features in the ROIs, abnormality of each segment is estimated by 1 class SVM (1 class Support Vector Machine). We conducted some experiments to compare the proposed method with conventional methods using PCA (Principal Component Analysis) and confirmed that our method is sensitive to the variation of the machinery motion and robust against background and illumination variations. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Spatio-temporal Feature / Unsupervised Learning / Anomaly Detection |
Paper # | IMQ2013-41,IE2013-150,MVE2013-79 |
Date of Issue |
Conference Information | |
Committee | MVE |
---|---|
Conference Date | 2014/2/27(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | |
Vice Chair | |
Secretary | |
Assistant |
Paper Information | |
Registration To | Media Experience and Virtual Environment (MVE) |
---|---|
Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Abnormal Scene Extraction in Machinery Operation using Spatio-temporal Feature and Unsupervised Learning |
Sub Title (in English) | |
Keyword(1) | Spatio-temporal Feature |
Keyword(2) | Unsupervised Learning |
Keyword(3) | Anomaly Detection |
1st Author's Name | Hiromitsu KOBAYASHI |
1st Author's Affiliation | Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology() |
2nd Author's Name | Kota AOKI |
2nd Author's Affiliation | Imaging Science and Engineering Laboratory, Tokyo Institute of Technology |
3rd Author's Name | Hiroshi NAGAHASHI |
3rd Author's Affiliation | Imaging Science and Engineering Laboratory, Tokyo Institute of Technology |
Date | 2014-03-06 |
Paper # | IMQ2013-41,IE2013-150,MVE2013-79 |
Volume (vol) | vol.113 |
Number (no) | 470 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |