MOTION-BASED FEATURE CLUSTERING FOR ARTICULATED BODY TRACKING

Hildegard Kuehne, Annika Woerner

2009

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, such a clustering can establish a basis for a markerless reconstruction of articulated body structures as well as for human motion recognition by moving features.

Paper Citation

in Harvard Style

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

in Bibtex Style

@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},
}

in EndNote Style

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