Presentation 2010-01-21
Action Classification Based on CHLAC Features and Cone-Restricted Subspace Method
Ryuta SATOH, Yoshinari KAMEDA, YUICHI OHTA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper describes a cone restricted subspace method for multi-classification of CHLAC features that are taken from both human and non-human motions. CHLAC features are obtained from binarized frame-difference image sequences. Because CHLAC features are position invariant and addable, they should be suitable for generic motion analysis in surveillance. We show that the cone restricted method can be applied to action classification. We have evaluated the method by the experiment of actions of person, bicycle, and automobile.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Surveillance Camera / Multi Class / Pattern Recognition
Paper # CQ2009-82,PRMU2009-181,SP2009-122,MVE2009-104
Date of Issue

Conference Information
Committee CQ
Conference Date 2010/1/14(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Communication Quality (CQ)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Action Classification Based on CHLAC Features and Cone-Restricted Subspace Method
Sub Title (in English)
Keyword(1) Surveillance Camera
Keyword(2) Multi Class
Keyword(3) Pattern Recognition
1st Author's Name Ryuta SATOH
1st Author's Affiliation Graduate School of Systems and Information Engineering, University of Tsukuba()
2nd Author's Name Yoshinari KAMEDA
2nd Author's Affiliation Graduate School of Systems and Information Engineering, University of Tsukuba
3rd Author's Name YUICHI OHTA
3rd Author's Affiliation Graduate School of Systems and Information Engineering, University of Tsukuba
Date 2010-01-21
Paper # CQ2009-82,PRMU2009-181,SP2009-122,MVE2009-104
Volume (vol) vol.109
Number (no) 373
Page pp.pp.-
#Pages 6
Date of Issue