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Shadow Removal Based on Shadow Direction and Shadow Attributes
Sydney Australia November 28-December 01
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CIMCA.2006.196International Conference on Computati ...
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Yinghua Lu, Huijie Xin, Jun Kong, Bingbing Li, Yan Wang, "Shadow Removal Based on Shadow Direction and Shadow Attributes," Computational Intelligence for Modelling, Control and Automation, International Conference on, pp. 37, International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06), 2006.
 
 
BibTex
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@article{ 10.1109/CIMCA.2006.196,
author = {Yinghua Lu and Huijie Xin and Jun Kong and Bingbing Li and Yan Wang},
title = {Shadow Removal Based on Shadow Direction and Shadow Attributes},
journal ={Computational Intelligence for Modelling, Control and Automation, International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2731-0},
pages = {37},
doi = {http://doi.ieeecomputersociety.org/10.1109/CIMCA.2006.196},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computational Intelligence for Modelling, Control and Automation, International Conference on
TI - Shadow Removal Based on Shadow Direction and Shadow Attributes
SN - 0-7695-2731-0
SP
EP
A1 - Yinghua Lu,
A1 - Huijie Xin,
A1 - Jun Kong,
A1 - Bingbing Li,
A1 - Yan Wang,
PY - 2006
KW - null
VL - 0
JA - Computational Intelligence for Modelling, Control and Automation, International Conference on
ER -
 
Yinghua Lu, Northeast Normal University, Changchun, Jilin Province, China
Huijie Xin, Key Laboratory for Applied Statistics of MOE, China
Jun Kong, Northeast Normal University, Changchun, Jilin Province, China
Bingbing Li, Northeast Normal University, Changchun, Jilin Province, China
Yan Wang, Northeast Normal University, Changchun, Jilin Province, China
Moving shadow removal is critical for robust moving object tracking system. A shadow removal algorithm based on shadow attributes is presented in this paper. The direction of shadow is estimated first, and then shadow points are sampled based on the direction of shadow. At last the shadow attributes is calculated using the sampled shadow points. The shadow is removed based on shadow attributes. Experimental results are presented to show that our algorithm is better than some other methods.
Citation:
Yinghua Lu, Huijie Xin, Jun Kong, Bingbing Li, Yan Wang, "Shadow Removal Based on Shadow Direction and Shadow Attributes," cimca, pp.37, International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06), 2006
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