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Authors: Hildegard Kuehne and Annika Woerner

Affiliation: Institute for Algorithms and Cognitive Systems, University Karlsruhe(TH), Germany

ISBN: 978-989-8111-69-2

ISSN: 2184-4321

Keyword(s): Feature clustering, Motion principles, Articulated body tracking, Body structure reconstruction, Feature tracking, Motion analysis.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Detecting 3D Objects Using Patterns of Motion and Appearance ; Feature Extraction ; Features Extraction ; Human-Computer Interaction ; Image and Video Analysis ; Informatics in Control, Automation and Robotics ; Methodologies and Methods ; Motion and Tracking ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Physiological Computing Systems ; Signal Processing, Sensors, Systems Modeling and Control ; Stereo Vision and Structure from Motion

Abstract: The recovery of three dimensional structures from moving elements is one of the main abilities of the human perception system. It is mainly based on particularities of how we interpret moving features, especially on the enforcement of geometrical grouping and definition of relation between features. In this paper we evaluate how the human abilities of motion based feature clustering can be transferred to an algorithmic approach to determine the structure of a rigid or articulated body in an image sequence. It shows how to group sparse 3D motion features to structural clusters, describing the rigid elements of articulated body structures. The location and motion properties of sparse feature point clouds have been analyzed and it is shown that moving features can be clustered by their local and temporal properties without any additional image information. The assembly of these structural groups could allow the detection of a human body in an image as well as its pose estimation. So, suc h a clustering can establish a basis for a markerless reconstruction of articulated body structures as well as for human motion recognition by moving features. (More)

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Paper citation in several formats:
Kuehne, H. and Woerner, A. (2009). MOTION-BASED FEATURE CLUSTERING FOR ARTICULATED BODY TRACKING.In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 579-584. DOI: 10.5220/0001786105790584

@conference{visapp09,
author={Hildegard Kuehne and Annika Woerner},
title={MOTION-BASED FEATURE CLUSTERING FOR ARTICULATED BODY TRACKING},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={579-584},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001786105790584},
isbn={978-989-8111-69-2},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)
TI - MOTION-BASED FEATURE CLUSTERING FOR ARTICULATED BODY TRACKING
SN - 978-989-8111-69-2
AU - Kuehne, H.
AU - Woerner, A.
PY - 2009
SP - 579
EP - 584
DO - 10.5220/0001786105790584

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