Art

J-GLOBAL ID：200902121931952238   Reference number：97A0853588

Recognizing Facial Expressions Generated by Multiple Persons Based on Hidden Markov Models with Continuous Output Probability Densities.

連続出力確率密度分布を用いたHMMによる動画像からの複数人物の表情認識

Author (3)： OTSUKA TAKAHIRO (ATR知能映像通信研) ,  OYA JUN (ATR知能映像通信研) ,  NAKATSU RYOHEI (ATR知能映像通信研)
Material： 電子情報通信学会論文誌 D-2  (IEICE Transactions on Information and Systems, Pt.2 (Japanese Edition))
Volume： J80-D-2  Issue： 8  Page： 2129-2137  Publication year： Aug. 1997 
JST Material Number： L0197A  ISSN： 0915-1923  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： face (body region) ,...

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JST classification (1)： Pattern recognition  (JE07000S)

Reference (12)：

• HARASHIMA, H. Intelligent image coding and communications with realistic sensations - Recent trends. IEICE Trans. 1991, E74, 6, 1582-1592
• MASE, K. Recognition of facial expression from optical flow. IEICE Trans. 1991, E74, 10, 3474-3483
• HORN, B. K. P. Determining optical flow. Artificial Intelligence. 1981, 17, 185-203
• ESSA, I. A. Analysis, interpretation, and synthesis of facial expressions. M. I. T. Media Laboratory, Perceptual Computing Group Report. 1994, 303
• YACOOB, Y. Recognizing human facial expressions from long image sequences using optical flow. IEEE Trans. PAMI. 1996, 18, 6, 636-642

Terms in the title (5)： 確率密度分布 ,  HMM ,  動画像 ,  人物 ,  表情認識