Presentation 2015-02-23
Pedestrian Recognition using Local Interpolation in Subcategory
Yuta YAMASAKI, Kosuke MATSUSHIMA,
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Abstract(in English) This paper presents a subcategory method for pedestrian recognition. Boosting is performed to test data using study data. Clustering divides study data into a subcategory. Improvement in a pedestrian recognition rate is expected by using the study data divided into the subcategory.
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Keyword(in English) Pedestrian Recognition / Spectral Clustering / Subcategory / Affinity Matrix / Sparse Matrix / Local Interpolation
Paper # ITS2014-43,IE2014-70
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Committee ITS
Conference Date 2015/2/16(1days)
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Paper Information
Registration To Intelligent Transport Systems Technology (ITS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Pedestrian Recognition using Local Interpolation in Subcategory
Sub Title (in English)
Keyword(1) Pedestrian Recognition
Keyword(2) Spectral Clustering
Keyword(3) Subcategory
Keyword(4) Affinity Matrix
Keyword(5) Sparse Matrix
Keyword(6) Local Interpolation
1st Author's Name Yuta YAMASAKI
1st Author's Affiliation Mechanical and Electrical Systems Engineering Advanced Course, Advanced Engeneering School, Kurume National College of Technology()
2nd Author's Name Kosuke MATSUSHIMA
2nd Author's Affiliation Department of Control and Information System Engineering, Kurume National College of Technology
Date 2015-02-23
Paper # ITS2014-43,IE2014-70
Volume (vol) vol.114
Number (no) 459
Page pp.pp.-
#Pages 6
Date of Issue