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Particle tracking by deformable templates

Yuille, Alan L. ; Honda, Ko and Peterson, Carsten LU (1991) International Joint Conference on Neural Networks - IJCNN-91-Seattle p.7-12
Abstract

The authors describe an approach to particle tracking based on deformable templates. Hough transforms are used to give initial conditions for the templates which then converge using a deterministic annealing algorithm. This template approach is closely related to the elastic net algorithm. The authors demonstrate successful results on both simulated and real data. The authors also show how the Hough transform can be derived from the deformable template algorithm as a special case in the low temperature (or gradient descent limit).

Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Proceedings. IJCNN-91-Seattle : International Joint Conference on Neural Networks - International Joint Conference on Neural Networks
editor
Anon
pages
6 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
International Joint Conference on Neural Networks - IJCNN-91-Seattle
conference location
Seattle, WA, USA
conference dates
1991-07-08 - 1991-07-12
external identifiers
  • scopus:0026406606
ISBN
0780301641
language
English
LU publication?
yes
id
87b98ba1-54d7-4e81-9d62-9a8b36a22767
date added to LUP
2019-05-14 16:06:51
date last changed
2025-04-04 14:55:13
@inproceedings{87b98ba1-54d7-4e81-9d62-9a8b36a22767,
  abstract     = {{<p>The authors describe an approach to particle tracking based on deformable templates. Hough transforms are used to give initial conditions for the templates which then converge using a deterministic annealing algorithm. This template approach is closely related to the elastic net algorithm. The authors demonstrate successful results on both simulated and real data. The authors also show how the Hough transform can be derived from the deformable template algorithm as a special case in the low temperature (or gradient descent limit).</p>}},
  author       = {{Yuille, Alan L. and Honda, Ko and Peterson, Carsten}},
  booktitle    = {{Proceedings. IJCNN-91-Seattle : International Joint Conference on Neural Networks}},
  editor       = {{Anon}},
  isbn         = {{0780301641}},
  language     = {{eng}},
  month        = {{12}},
  pages        = {{7--12}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Particle tracking by deformable templates}},
  year         = {{1991}},
}