Presentation | 2010-11-30 Particle Filter and MCMC for Communication Science Kazuhiro OTSUKA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In recent years, the automatic analysis of human-human communication scenes has been acknowledged as an emerging research field. Authors have been working on multimodal conversation scene analysis that aims to provide the automatic description of conversation scenes from the multimodal nonverbal behaviors of participants, which are captured with cameras and microphones. This talk introduces two example techniques developed by author's group. The one is the probabilistic modeling and inference of conversation structures. The other is the visual tracking of the head poses of conversation participants. This talk also overviews the particle filtering and Markov Chain Monte Carlo (MCMC) method, which are used in our conversation scene analysis. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Particle Filter / Sequential Monte Carlo / Markov Chain Monte Carlo / Probabilistic Inference / Communication Science / Conversation Scene Analysis / Target Tracking / Multimodal Interaction |
Paper # | IT2010-52 |
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Committee | IT |
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Conference Date | 2010/11/23(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 | Information Theory (IT) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Particle Filter and MCMC for Communication Science |
Sub Title (in English) | |
Keyword(1) | Particle Filter |
Keyword(2) | Sequential Monte Carlo |
Keyword(3) | Markov Chain Monte Carlo |
Keyword(4) | Probabilistic Inference |
Keyword(5) | Communication Science |
Keyword(6) | Conversation Scene Analysis |
Keyword(7) | Target Tracking |
Keyword(8) | Multimodal Interaction |
1st Author's Name | Kazuhiro OTSUKA |
1st Author's Affiliation | Nippon Telegraph and Telephone Corporation, NTT Communication Science Laboratories() |
Date | 2010-11-30 |
Paper # | IT2010-52 |
Volume (vol) | vol.110 |
Number (no) | 320 |
Page | pp.pp.- |
#Pages | 10 |
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