loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Hildegard Kuehne 1 and Annika Woerner 2

Affiliations: 1 University of Karlsruhe(TH), Germany ; 2 Institut for Algorithms and Cognitive Systems, University of Karlsruhe (TH), Germany

Keyword(s): Motion segmentation, Articulated body tracking, Motion recognition.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Human-Computer Interaction ; Image and Video Analysis ; Methodologies and Methods ; Motion and Tracking ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Physiological Computing Systems ; Segment Cluster Tracking ; Segmentation and Grouping

Abstract: The correct segmentation of articulated motion is an important factor to extract and understand the functional structures of complex, articulated objects. Segmenting such body motion without additional appearance information is still a challenging task, because articulated objects as e.g. the human body are mainly based on fine, connected structures. The proposed approach combines consensus based motion segmentation with biological inspired visual perception criteria. This allows the grouping of sparse, dependent moving features points into several clusters, representing the rigid elements of an articulated structure. It is shown how geometric and time-based feature properties can be used to improve the result of motion segmentation in this context. We evaluated our algorithm on artificial as well as natural video sequences in order to segment the motion of human body elements. The results of the evaluation of parameter influences and also the practical evaluation show, that good mot ion segmentation can be achieved by this approach. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.215.77.88

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Kuehne, H. and Woerner, A. (2010). MOTION SEGMENTATION OF ARTICULATED STRUCTURES BY INTEGRATION OF VISUAL PERCEPTION CRITERIA. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2010) - Volume 2: VISAPP; ISBN 978-989-674-029-0; ISSN 2184-4321, SciTePress, pages 54-59. DOI: 10.5220/0002829900540059

@conference{visapp10,
author={Hildegard Kuehne. and Annika Woerner.},
title={MOTION SEGMENTATION OF ARTICULATED STRUCTURES BY INTEGRATION OF VISUAL PERCEPTION CRITERIA},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2010) - Volume 2: VISAPP},
year={2010},
pages={54-59},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002829900540059},
isbn={978-989-674-029-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2010) - Volume 2: VISAPP
TI - MOTION SEGMENTATION OF ARTICULATED STRUCTURES BY INTEGRATION OF VISUAL PERCEPTION CRITERIA
SN - 978-989-674-029-0
IS - 2184-4321
AU - Kuehne, H.
AU - Woerner, A.
PY - 2010
SP - 54
EP - 59
DO - 10.5220/0002829900540059
PB - SciTePress