Presentation 2004-07-15
Spotting recognition and Tracking of a deformable object in time-varying image using Two-dimensional Continuous Dynamic Programming
Yuya IWASA, Ryuuichi OKA,
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Abstract(in English) When the background is varying or a tracking target is deforming, a unified processing composed of segmentation, recognition and tracking is difficult to realize by 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 next frame. Simultaneous processing of recognition and segmentation is called spotting recognition. 2DCDP performs spotting recognition of image. An extended 2DCDP is used to deal with multiple objects of image with arbitrary shape. Experimental results showed that the method worked well.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Image spotting / Object tracking / Non-linear matching
Paper # IE2004-23,PRMU2004-47,MVE2004-24
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Conference Information
Committee MVE
Conference Date 2004/7/8(1days)
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Registration To Media Experience and Virtual Environment (MVE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Spotting recognition and Tracking of a deformable object in time-varying image using Two-dimensional Continuous Dynamic Programming
Sub Title (in English)
Keyword(1) Image spotting
Keyword(2) Object tracking
Keyword(3) Non-linear matching
1st Author's Name Yuya IWASA
1st Author's Affiliation The University of Aizu()
2nd Author's Name Ryuuichi OKA
2nd Author's Affiliation The University of Aizu
Date 2004-07-15
Paper # IE2004-23,PRMU2004-47,MVE2004-24
Volume (vol) vol.104
Number (no) 195
Page pp.pp.-
#Pages 6
Date of Issue