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Parallel Extraction Architecture for Image Moments of Numerous Objects
Palermo, Italy July 04-July 06
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CAMP.2005.38Seventh International Workshop on Com ...
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Yoshihiro Watanabe, Takashi Komuro, Shingo Kagami, Masatoshi Ishikawa, "Parallel Extraction Architecture for Image Moments of Numerous Objects," Computer Architectures for Machine Perception, International Workshop on, pp. 105-110, Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05), 2005.
 
 
BibTex
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@article{ 10.1109/CAMP.2005.38,
author = {Yoshihiro Watanabe and Takashi Komuro and Shingo Kagami and Masatoshi Ishikawa},
title = {Parallel Extraction Architecture for Image Moments of Numerous Objects},
journal ={Computer Architectures for Machine Perception, International Workshop on},
volume = {0},
year = {2005},
isbn = {0-7695-2255-6},
pages = {105-110},
doi = {http://doi.ieeecomputersociety.org/10.1109/CAMP.2005.38},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer Architectures for Machine Perception, International Workshop on
TI - Parallel Extraction Architecture for Image Moments of Numerous Objects
SN - 0-7695-2255-6
SP105
EP110
A1 - Yoshihiro Watanabe,
A1 - Takashi Komuro,
A1 - Shingo Kagami,
A1 - Masatoshi Ishikawa,
PY - 2005
KW - null
VL - 0
JA - Computer Architectures for Machine Perception, International Workshop on
ER -
 
Yoshihiro Watanabe, University of Tokyo
Takashi Komuro, University of Tokyo
Shingo Kagami, University of Tokyo
Masatoshi Ishikawa, University of Tokyo
In this paper, we propose a new architecture that can extract information of numerous objects in an image at highspeed. Various characteristics can be obtained from the image moments. The proposed architecture simultaneously extracts the moments of multiple objects in parallel. This parallel extraction enables a significant reduction in the amount of calculation required. In addition, asynchronous operation allows fast processing. We believe that our architecture can obtain more information in real-time even at high frame rates, providing advantages in a wide range of applications, mainly for image measurement. This paper describes our proposed architecture and some results on its implementation in FPGA.
Citation:
Yoshihiro Watanabe, Takashi Komuro, Shingo Kagami, Masatoshi Ishikawa, "Parallel Extraction Architecture for Image Moments of Numerous Objects," camp, pp.105-110, Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05), 2005
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