Presentation 1999/7/15
Robust and Efficient Face Sequence Matching
Shin'ichi Satoh, Norio Katayama,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Face information is quite important especially for news programs, dramas, and movies. However, face sequences in videos are subject to variation in lighting condition, pose, face expression, etc., which cause difficulty in face matching. These problems are tackled to achieve robust face sequence matching applicable to real video domains, and its efficient implementation is presented. The paper proves the proposed method achieves good performance in actual video domains. In addition, by the combination with the high-dimensional index structure, the algorithm achieves practical computational time, as well as scalability against increase of the number of faces.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Video analysis / Pattern classification / Spatial data structures / Face recognition
Paper # PRMU99-43
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Conference Information
Committee PRMU
Conference Date 1999/7/15(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) Robust and Efficient Face Sequence Matching
Sub Title (in English)
Keyword(1) Video analysis
Keyword(2) Pattern classification
Keyword(3) Spatial data structures
Keyword(4) Face recognition
1st Author's Name Shin'ichi Satoh
1st Author's Affiliation National Center for Science Information Systems (NACSIS)()
2nd Author's Name Norio Katayama
2nd Author's Affiliation National Center for Science Information Systems (NACSIS)
Date 1999/7/15
Paper # PRMU99-43
Volume (vol) vol.99
Number (no) 181
Page pp.pp.-
#Pages 6
Date of Issue