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  Analysis by Synthesis for Human Pose Tracking: Merging View-Based and Model-Based Approaches

Curio, C. (2005). Analysis by Synthesis for Human Pose Tracking: Merging View-Based and Model-Based Approaches. In H. Bülthoff, H. Mallot, R. Ulrich, & F. Wichmann (Eds.), 8th Tübingen Perception Conference: TWK 2005 (pp. 25). Kirchentellinsfurt, Germany: Knirsch.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-D625-F Version Permalink: http://hdl.handle.net/21.11116/0000-0004-D6C2-F
Genre: Meeting Abstract

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 Creators:
Curio, C1, 2, 3, Author              
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              
3Project group: Cognitive Engineering, Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_2528702              

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 Abstract: Action recognition by the brain is thought to combine the recognition of body configurations with some form of feature tracking over time (for review see [1]). So far, in the field of computer vision these two mechanisms are typically addressed as separate problems. Proposed solutions have either been based on independent recognition of learned body configurations [2,3], or on high-level model-based stochastic tracking mechanisms [4–6] in both 2D and 3D space. A new system will be presented that integrates dynamic view-based pose configuration estimation and model-based articulated tracking, resulting in increased robustness and improved generalization properties for a small set of training data. A combination of kernel-based nonlinear regression analysis and competitive particle filtering maps together image features robustly onto points of a smooth manifold of body postures (action space). This analysis-by-synthesis based posture estimation is used as a prior for the automatic initialization and support of the tracking of a flexible articulated 2D model. It will be discussed how this computational approach represents perceptual ambiguities and robustly solves the correspondence problem for the reconstruction of human body pose under strong self-occlusions.

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 Dates: 2005-02
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: BibTex Citekey: 3315
 Degree: -

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Title: 8th Tübinger Wahrnehmungskonferenz (TWK 2005)
Place of Event: Tübingen, Germany
Start-/End Date: 2005-02-25 - 2005-02-27

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Title: 8th Tübingen Perception Conference: TWK 2005
Source Genre: Proceedings
 Creator(s):
Bülthoff, HH1, Editor            
Mallot, HA, Editor            
Ulrich, R, Editor
Wichmann, FA1, Editor            
Affiliations:
1 Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794            
Publ. Info: Kirchentellinsfurt, Germany : Knirsch
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 25 Identifier: ISBN: 3-927091-70-7