Presentation 2000/9/15
An Efficient Face Detection Method from News Images by Adaptive Estimation of Prior Probabilities and Ising Search
Takio Kurita, Masaru Tanaka, Kazuhiro Hotta, Hiroyuki Shimai, Taketoshi Mishima,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper presents an efficient method to detect faces from image sequences such as news or visual surveillance. The prior probabilities of the face locations in the image are adaptively estimated. The search points in the Ising search are selected depending on the estimated prior probabilities. The information obtained at previous search point in the given image is effectively utilized through spin flip dynamics of the Ising search. If a face is found, the prior probabilities are updated with forgetting. This makes adaptation to the changes of the environment possible. The proposed search method was applied to the news images captured during about a week. It is confirmed that the proposed method is about 10 times faster than Ising search method without prior probabilities estimation.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) face detection / prior probabilities / Ising search / news images
Paper # PRMU2000-81
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Conference Information
Committee PRMU
Conference Date 2000/9/15(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) An Efficient Face Detection Method from News Images by Adaptive Estimation of Prior Probabilities and Ising Search
Sub Title (in English)
Keyword(1) face detection
Keyword(2) prior probabilities
Keyword(3) Ising search
Keyword(4) news images
1st Author's Name Takio Kurita
1st Author's Affiliation Electrotechnical Laboratory()
2nd Author's Name Masaru Tanaka
2nd Author's Affiliation Saitama University
3rd Author's Name Kazuhiro Hotta
3rd Author's Affiliation Saitama University
4th Author's Name Hiroyuki Shimai
4th Author's Affiliation Saitama University
5th Author's Name Taketoshi Mishima
5th Author's Affiliation Saitama University
Date 2000/9/15
Paper # PRMU2000-81
Volume (vol) vol.100
Number (no) 312
Page pp.pp.-
#Pages 8
Date of Issue