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Multi-scale 2D tracking of articulated objects using hierarchical spring systems

This paper presents a flexible framework to build a target-specific, part-based representation for arbitrary articulated or rigid objects. The aim is to successfully track the target object in 2D, through multiple scales and occlusions. This is realized by employing a hierarchical, iterative optimiz...

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Detalles Bibliográficos
Autores principales: Artner, Nicole M., Ion, Adrian, Kropatsch, Walter G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3268560/
https://www.ncbi.nlm.nih.gov/pubmed/22298916
http://dx.doi.org/10.1016/j.patcog.2010.10.025
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author Artner, Nicole M.
Ion, Adrian
Kropatsch, Walter G.
author_facet Artner, Nicole M.
Ion, Adrian
Kropatsch, Walter G.
author_sort Artner, Nicole M.
collection PubMed
description This paper presents a flexible framework to build a target-specific, part-based representation for arbitrary articulated or rigid objects. The aim is to successfully track the target object in 2D, through multiple scales and occlusions. This is realized by employing a hierarchical, iterative optimization process on the proposed representation of structure and appearance. Therefore, each rigid part of an object is described by a hierarchical spring system represented by an attributed graph pyramid. Hierarchical spring systems encode the spatial relationships of the features (attributes of the graph pyramid) describing the parts and enforce them by spring-like behavior during tracking. Articulation points connecting the parts of the object allow to transfer position information from reliable to ambiguous parts. Tracking is done in an iterative process by combining the hypotheses of simple trackers with the hypotheses extracted from the hierarchical spring systems.
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spelling pubmed-32685602012-01-30 Multi-scale 2D tracking of articulated objects using hierarchical spring systems Artner, Nicole M. Ion, Adrian Kropatsch, Walter G. Pattern Recognit Article This paper presents a flexible framework to build a target-specific, part-based representation for arbitrary articulated or rigid objects. The aim is to successfully track the target object in 2D, through multiple scales and occlusions. This is realized by employing a hierarchical, iterative optimization process on the proposed representation of structure and appearance. Therefore, each rigid part of an object is described by a hierarchical spring system represented by an attributed graph pyramid. Hierarchical spring systems encode the spatial relationships of the features (attributes of the graph pyramid) describing the parts and enforce them by spring-like behavior during tracking. Articulation points connecting the parts of the object allow to transfer position information from reliable to ambiguous parts. Tracking is done in an iterative process by combining the hypotheses of simple trackers with the hypotheses extracted from the hierarchical spring systems. Elsevier 2011-04 /pmc/articles/PMC3268560/ /pubmed/22298916 http://dx.doi.org/10.1016/j.patcog.2010.10.025 Text en © 2011 Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/3.0/ Open Access under CC BY-NC-ND 3.0 (https://creativecommons.org/licenses/by-nc-nd/3.0/) license
spellingShingle Article
Artner, Nicole M.
Ion, Adrian
Kropatsch, Walter G.
Multi-scale 2D tracking of articulated objects using hierarchical spring systems
title Multi-scale 2D tracking of articulated objects using hierarchical spring systems
title_full Multi-scale 2D tracking of articulated objects using hierarchical spring systems
title_fullStr Multi-scale 2D tracking of articulated objects using hierarchical spring systems
title_full_unstemmed Multi-scale 2D tracking of articulated objects using hierarchical spring systems
title_short Multi-scale 2D tracking of articulated objects using hierarchical spring systems
title_sort multi-scale 2d tracking of articulated objects using hierarchical spring systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3268560/
https://www.ncbi.nlm.nih.gov/pubmed/22298916
http://dx.doi.org/10.1016/j.patcog.2010.10.025
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