Presentation 2014-06-12
Optimized HOG for Database System
Mao HATTO, Takaaki MIYAJIMA, Hiroki MATSUTANI, Hideharu AMANO,
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Abstract(in English) As technology of High Performance Computing and Pattern Recognition has evolved rapidly, Human Detection system also has gathered attention recently. HOG (Histogram of Oriented Gradients) is an effective way for extract feature values. Also, Real Adaboost Algorithm has a good discrernment performance and easiness for implementation. Feature data collected by such kind of human detection system are stored in a database server, and they are expected to apply for security system or some otehr useful application. However, these are some difficulities in the human detection system, which consists HOG feature and Real Adaboost, due to large data of feature values. In this paper, we aim the reduction of feature data with same detection accuracy using fixed-point arithmetic and LUTs (Look Up Table), and high performance execution via FPGA (Field-Programmable Gate Array).
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Keyword(in English) Human Detection / HOG / Real Adaboost / FPGA
Paper # RECONF2014-3
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Conference Information
Committee RECONF
Conference Date 2014/6/4(1days)
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Registration To Reconfigurable Systems (RECONF)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Optimized HOG for Database System
Sub Title (in English)
Keyword(1) Human Detection
Keyword(2) HOG
Keyword(3) Real Adaboost
Keyword(4) FPGA
1st Author's Name Mao HATTO
1st Author's Affiliation Graduate School of Science and Technology, Keio University()
2nd Author's Name Takaaki MIYAJIMA
2nd Author's Affiliation Graduate School of Science and Technology, Keio University
3rd Author's Name Hiroki MATSUTANI
3rd Author's Affiliation Graduate School of Science and Technology, Keio University
4th Author's Name Hideharu AMANO
4th Author's Affiliation Graduate School of Science and Technology, Keio University
Date 2014-06-12
Paper # RECONF2014-3
Volume (vol) vol.114
Number (no) 75
Page pp.pp.-
#Pages 6
Date of Issue