Presentation | 1999/7/15 Target Tracking by Matching Shapes Represented by Compact Trees of Sigmoid Functions : A Cellular Computation Framework Itsuo Kumazawa, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This report describes a shape matching method which transforms a template shape represented by a tree of sigmoid functions so that it fits target shapes included in a sequence of image frames. The tree-based shape representation is automatically constructed by a training procedure in advance to the shape matching process. Through the matching process, the position and the posture of the target are computed by a gradient-descent-based searching procedure. The amount of computation is reduced by using a compact tree which represents a shape roughly but with sufficient details for determining the object postures. The search are a is also limited assuming small changes of the object positions and postures in consecutive frames. The number of iterations in gradient-descent-based search is reduced using the previous position and posture as initial conditions for the next search. Some experiments were conducted and the method's sensitivity to noises and initial parameter values were examined. The results suggest the method's feasibility as a target tracking method. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Shape modeling / shape matching / gradient descent / neural network / target tracking / back propagation / learning |
Paper # | PRMU99-37 |
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Conference Information | |
Committee | PRMU |
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Conference Date | 1999/7/15(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Target Tracking by Matching Shapes Represented by Compact Trees of Sigmoid Functions : A Cellular Computation Framework |
Sub Title (in English) | |
Keyword(1) | Shape modeling |
Keyword(2) | shape matching |
Keyword(3) | gradient descent |
Keyword(4) | neural network |
Keyword(5) | target tracking |
Keyword(6) | back propagation |
Keyword(7) | learning |
1st Author's Name | Itsuo Kumazawa |
1st Author's Affiliation | Department of Computer Science Tokyo Institute of Technology() |
Date | 1999/7/15 |
Paper # | PRMU99-37 |
Volume (vol) | vol.99 |
Number (no) | 181 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |