Presentation | 2001/7/11 The Method to Detect One's Action by Analysis of Sequential View Images in Everyday Life Toshimasa IIJIMA, Toshio KAWASHIMA, Yoshinao AOKI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this report, we propose the method to detect and recognize one's antion by analysis of sequential view images in everyday life. In this method, we estimate user's head motion using optical flow by multi resolution images with gaussian filter to reduce the noises. And to acquire a user's hand position and track it from imput images, we use the color feature of human hand by the L^*a^*b color space. Obsering user's head motion and hand motion, we recognize user's action and it's kind, and detect target objects in qutomatically. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Recording action history / Optical flow / Skin region detection / Motion Estimation |
Paper # | IE2001-30,PRMU2001-50,MVE2001-29 |
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Conference Information | |
Committee | PRMU |
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Conference Date | 2001/7/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | The Method to Detect One's Action by Analysis of Sequential View Images in Everyday Life |
Sub Title (in English) | |
Keyword(1) | Recording action history |
Keyword(2) | Optical flow |
Keyword(3) | Skin region detection |
Keyword(4) | Motion Estimation |
1st Author's Name | Toshimasa IIJIMA |
1st Author's Affiliation | Graduate School of Engineering, Hokkaido University() |
2nd Author's Name | Toshio KAWASHIMA |
2nd Author's Affiliation | Department of Media Architecture, FUTURE UNIVERSITY-HAKODATE |
3rd Author's Name | Yoshinao AOKI |
3rd Author's Affiliation | Graduate School of Engineering, Hokkaido University |
Date | 2001/7/11 |
Paper # | IE2001-30,PRMU2001-50,MVE2001-29 |
Volume (vol) | vol.101 |
Number (no) | 202 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |