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Real-time Object Recognition using Relational Dependency based on Graphical Model
Hong Kong August 20-August 24
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.96518th International Conference on Patt ...
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Woo-han Yun, Sung Yang Bang, Daijin Kim, "Real-time Object Recognition using Relational Dependency based on Graphical Model," Pattern Recognition, International Conference on, vol. 3, pp. 28-32, 18th International Conference on Pattern Recognition (ICPR'06) Volume 3, 2006.
 
 
BibTex
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@article{ 10.1109/ICPR.2006.965,
author = {Woo-han Yun and Sung Yang Bang and Daijin Kim},
title = {Real-time Object Recognition using Relational Dependency based on Graphical Model},
journal ={Pattern Recognition, International Conference on},
volume = {3},
year = {2006},
issn = {1051-4651},
pages = {28-32},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.965},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Pattern Recognition, International Conference on
TI - Real-time Object Recognition using Relational Dependency based on Graphical Model
SN - 1051-4651
SP28
EP32
A1 - Woo-han Yun,
A1 - Sung Yang Bang,
A1 - Daijin Kim,
PY - 2006
KW - null
VL - 3
JA - Pattern Recognition, International Conference on
ER -
 
Woo-han Yun, Intelligent Robot Research Division, Korea
Sung Yang Bang, Pohang University of Science and Technology, Korea
Daijin Kim, Pohang University of Science and Technology, Korea
When we recognize the objects, it is effective to use the relational dependency that several different objects co-exist each other. This paper proposes a real-time object recognition using the relational dependency among the objects that is represented by the graphical model. Experiment results validate that the proposed method is a fast and effective way of recognizing the objects in terms of high recognition rate and low false alarm rate.
Citation:
Woo-han Yun, Sung Yang Bang, Daijin Kim, "Real-time Object Recognition using Relational Dependency based on Graphical Model," icpr, vol. 3, pp.28-32, 18th International Conference on Pattern Recognition (ICPR'06) Volume 3, 2006
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