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Fourth International Conference on Computer and Information Technology (CIT'04)
Spotting Recognition and Tracking of a Deformable Object in a Time-Varying Image Using Two-Dimensional Continuous Dynamic Programming
Wuhan, China
September 14-September 16
ISBN: 0-7695-2216-5
ASCII Text
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Yuya Iwasa, Ryuichi Oka, "Spotting Recognition and Tracking of a Deformable Object in a Time-Varying Image Using Two-Dimensional Continuous Dynamic Programming," Computer and Information Technology, International Conference on, pp. 33-38, Fourth International Conference on Computer and Information Technology (CIT'04), 2004.
 
 
BibTex
x
 
@article{ 10.1109/CIT.2004.1357171,
author = {Yuya Iwasa and Ryuichi Oka},
title = {Spotting Recognition and Tracking of a Deformable Object in a Time-Varying Image Using Two-Dimensional Continuous Dynamic Programming},
journal ={Computer and Information Technology, International Conference on},
volume = {0},
year = {2004},
isbn = {0-7695-2216-5},
pages = {33-38},
doi = {http://doi.ieeecomputersociety.org/10.1109/CIT.2004.1357171},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer and Information Technology, International Conference on
TI - Spotting Recognition and Tracking of a Deformable Object in a Time-Varying Image Using Two-Dimensional Continuous Dynamic Programming
SN - 0-7695-2216-5
SP33
EP38
A1 - Yuya Iwasa,
A1 - Ryuichi Oka,
PY - 2004
KW - null
VL - 0
JA - Computer and Information Technology, International Conference on
ER -
 
Yuya Iwasa, University of Aizu
Ryuichi Oka, University of Aizu
When the background is varying or a tracking target is deforming, a unified processing composed of segmentations, recognitions and tracking is difficult to realize using conventional methods. An iterative method is proposed by a combination of spotting recognition with a reference image for tracking a target and making a segmented image as a reference image for the next frame. Simultaneous processing of recognition and segmentation is called spotting recognition. 2DCDP performs spotting recognition of images. An extended 2DCDP is used to deal with multiple object images with arbitrary shapes. Experimental results showed that the method worked well.
Citation:
Yuya Iwasa, Ryuichi Oka, "Spotting Recognition and Tracking of a Deformable Object in a Time-Varying Image Using Two-Dimensional Continuous Dynamic Programming," cit, pp.33-38, Fourth International Conference on Computer and Information Technology (CIT'04), 2004
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