Presentation 2008-01-17
Person-Independent Face Tracking Based on Dynamic AAM Selection
Akihiro KOBAYASHI, Junji SATAKE, Takatsugu HIRAYAMA, Hiroaki KAWASHIMA, Takashi MATSUYAMA,
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Abstract(in English) This paper proposes a real-time high-precision method to track an unknown face in front of an information system by selecting appropriate model to a video image. Active Appearance Model(AAM) can track a non-rigid object such as a face, because AAM learns the correlation between shape and texture. However, when AAM tracks an unknown face, excessive training data increases tracking errors because of truncating axes which shows characteristics of individuals and of additional local minima generated by the data. In order to increase accuracy of tracking unknown face, we build clusters from training data sets and select a model based on the cluster includes similar face with the unknown face. This paper shows a method of clustering and selecting the cluster based on Mutual Subspace Method, and the result of estimation by leave-one-out.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Active Appearance Model / Mutual Subspace Method / Face Tracking
Paper # PRMU2007-163
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Conference Information
Committee PRMU
Conference Date 2008/1/10(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Person-Independent Face Tracking Based on Dynamic AAM Selection
Sub Title (in English)
Keyword(1) Active Appearance Model
Keyword(2) Mutual Subspace Method
Keyword(3) Face Tracking
1st Author's Name Akihiro KOBAYASHI
1st Author's Affiliation National Institute of Information and Communication Technology()
2nd Author's Name Junji SATAKE
2nd Author's Affiliation National Institute of Information and Communication Technology
3rd Author's Name Takatsugu HIRAYAMA
3rd Author's Affiliation Kyoto University
4th Author's Name Hiroaki KAWASHIMA
4th Author's Affiliation Kyoto University
5th Author's Name Takashi MATSUYAMA
5th Author's Affiliation Kyoto University
Date 2008-01-17
Paper # PRMU2007-163
Volume (vol) vol.107
Number (no) 427
Page pp.pp.-
#Pages 6
Date of Issue