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The 3rd Canadian Conference on Computer and Robot Vision (CRV'06)
A Pixel-Weighting Method for Discriminating Objects of Different Sizes in an Image Captured from a Single Camera
Quebec City, Quebec, Canada
June 07-June 09
ISBN: 0-7695-2542-3
ASCII Text
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Mookyung Park, Namsu Moon, Sangrim Ryu, Jeongpyo Kong, Yongjin Lee, Wangjin Mun, "A Pixel-Weighting Method for Discriminating Objects of Different Sizes in an Image Captured from a Single Camera," Computer and Robot Vision, Canadian Conference, pp. 36, The 3rd Canadian Conference on Computer and Robot Vision (CRV'06), 2006.
 
 
BibTex
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@article{ 10.1109/CRV.2006.6,
author = {Mookyung Park and Namsu Moon and Sangrim Ryu and Jeongpyo Kong and Yongjin Lee and Wangjin Mun},
title = {A Pixel-Weighting Method for Discriminating Objects of Different Sizes in an Image Captured from a Single Camera},
journal ={Computer and Robot Vision, Canadian Conference},
volume = {0},
year = {2006},
isbn = {0-7695-2542-3},
pages = {36},
doi = {http://doi.ieeecomputersociety.org/10.1109/CRV.2006.6},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer and Robot Vision, Canadian Conference
TI - A Pixel-Weighting Method for Discriminating Objects of Different Sizes in an Image Captured from a Single Camera
SN - 0-7695-2542-3
SP
EP
A1 - Mookyung Park,
A1 - Namsu Moon,
A1 - Sangrim Ryu,
A1 - Jeongpyo Kong,
A1 - Yongjin Lee,
A1 - Wangjin Mun,
PY - 2006
KW - null
VL - 0
JA - Computer and Robot Vision, Canadian Conference
ER -
 
Mookyung Park, S1 Corporation, Korea
Namsu Moon, S1 Corporation, Kore
Sangrim Ryu, S1 Corporation, Korea
Jeongpyo Kong, S1 Corporation, Korea
Yongjin Lee, S1 Corporation, Korea
Wangjin Mun, S1 Corporation, Korea
A novel method of pixel-weighting is proposed to calculate the size of a detected object in an image captured using a single camera. The calculated object size does not vary significantly regardless of the location of the object in an image, which allows it to be effectively utilized in a vision-based surveillance sensing algorithm as a meaningful feature for discriminating human intruders from other objects. Experimental results show the feasibility of the proposed method.
Citation:
Mookyung Park, Namsu Moon, Sangrim Ryu, Jeongpyo Kong, Yongjin Lee, Wangjin Mun, "A Pixel-Weighting Method for Discriminating Objects of Different Sizes in an Image Captured from a Single Camera," crv, pp.36, The 3rd Canadian Conference on Computer and Robot Vision (CRV'06), 2006
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