Presentation | 2012-08-18 Posture identification for evaluation of multi-party interaction Kazuaki KOMATSU, Kazutaka SHIMADA, Tsutomu ENDO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The goal of our study is to understand a user's state in multi-party conversation. To realize the task, we need to estimate the state of user's mind. There are many approaches to estimate the state: use of verbal information and non-varbal information such as posture and gesture. In this paper, we propose a method for posture estimation. Characteristics of our method are (1) use of a top-view image and (2) use of depth information. Using top-view images solves a problem of occlusion. Using depth information reduces mistakes for detection of a person area and is effective for extracting features. We apply seven features, such as depth histogram and body information to the Adaboost algorithm. Experimental results show the effectiveness of our method. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Non-verbal information / Posture estimation / Top-view camera / Depth information / Depth sensor |
Paper # | HCS2012-37 |
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Committee | HCS |
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Conference Date | 2012/8/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Human Communication Science (HCS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Posture identification for evaluation of multi-party interaction |
Sub Title (in English) | |
Keyword(1) | Non-verbal information |
Keyword(2) | Posture estimation |
Keyword(3) | Top-view camera |
Keyword(4) | Depth information |
Keyword(5) | Depth sensor |
1st Author's Name | Kazuaki KOMATSU |
1st Author's Affiliation | Kyushu Institute of Technology() |
2nd Author's Name | Kazutaka SHIMADA |
2nd Author's Affiliation | Kyushu Institute of Technology |
3rd Author's Name | Tsutomu ENDO |
3rd Author's Affiliation | Kyushu Institute of Technology |
Date | 2012-08-18 |
Paper # | HCS2012-37 |
Volume (vol) | vol.112 |
Number (no) | 176 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |