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  A Biologically Motivated Approach to Human Body Pose Tracking in Clutter

Engel, D., & Curio, C. (2007). A Biologically Motivated Approach to Human Body Pose Tracking in Clutter. Poster presented at 10th Tübinger Wahrnehmungskonferenz (TWK 2007), Tübingen, Germany.

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Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-CCCD-8 Versions-Permalink: https://hdl.handle.net/21.11116/0000-0003-F495-1
Genre: Poster

Externe Referenzen

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externe Referenz:
http://www.cyberneum.de/fileadmin/user_upload/files/publications/TWK-2007.pdf (Verlagsversion)
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Urheber

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 Urheber:
Engel, D1, 2, 3, Autor           
Curio, C1, 2, 3, Autor           
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              

Inhalt

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Schlagwörter: -
 Zusammenfassung: In this study we present a biologically motivated learning-based computer vision approach to human pose estimation and tracking in clutter. The approach consists of two interconnected
modules: human posture estimation from monocular images and tracking a person’s location in
video footage. Full body pose estimation is approached with methods from statistical learning
theory: A mapping from biologically plausible complex features (similar to [1]) into a pose
space is learned using kernel based techniques (i.e. Support Vector Machines and kernel ridge
regression). The pose space is derived from a human body model based on 3D joint positions.
To tackle the ambiguities inherent to the projection of a 3D scene onto a monocular image
our approach employs a one-to-many mapping scheme which maps, in a mixture-of-experts
fashion [2], to several possible 3D poses. A key feature of the presented framework is the
feedback matching pathway which evaluates the likelihood of a generated hypothesis in an
intermediate feature space based on a robust medial axis transformation. The approach of [3]
is hereby extended to clutter. The fusion of bottom-up and top-down techniques exploits the
advantages of both approaches by being able to generate multiple hypotheses fast in a feedforward
manner without losing the ability to evaluate the hypotheses in the original image
space.
Tracking is investigated as the problem of finding a bounding box of a person throughout a
video sequence taking into account possible shape deformations. Based on the ability to track
a person a temporal filtering framework with constraints of natural movement is employed to
further disambiguate several hypotheses and to arrive at a stable and robust pose estimate.
To generate the needed amount of training images with corresponding ground-truth pose
information we use realistic computer graphics models driven by motion capture data embedded
into clutter by alpha-blending. Overall, we explore the robustness of our framework against
background changes and its generalization capabilities to novel actors, actions and real world
imagery.

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Sprache(n):
 Datum: 2007-07
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: BibTex Citekey: 4853
 Art des Abschluß: -

Veranstaltung

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Titel: 10th Tübinger Wahrnehmungskonferenz (TWK 2007)
Veranstaltungsort: Tübingen, Germany
Start-/Enddatum: 2007-07-27 - 2007-07-29

Entscheidung

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Projektinformation

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Quelle 1

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Titel: 10th Tübinger Perception Conference: TWK 2007
Genre der Quelle: Konferenzband
 Urheber:
Bülthoff, HH1, 2, Herausgeber           
Chatziastros, A1, 2, Herausgeber           
Mallot, H, Herausgeber           
Ulrich, R, Herausgeber
Affiliations:
1 Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797            
2 Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794            
Ort, Verlag, Ausgabe: Kirchentellinsfurt, Germany : Knirsch
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 59 Identifikator: ISBN: 3-927091-77-4