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Authors: Joachim Schmidt 1 and Modesto Castrillón-Santana 2

Affiliations: 1 Bielefeld University, Technical Faculty, Applied Computer Science, Germany ; 2 Institute of Intelligent Systems and Numerical Applications in Engineering, University of Las Palmas de Gran Canaria, Spain

Keyword(s): Human robot interaction, face detection, model acquisition, automatic initialization, human body tracking.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Detecting 3D Objects Using Patterns of Motion and Appearance ; Human-Computer Interaction ; Methodologies and Methods ; Model-Based Object Tracking in Image Sequences ; Motion and Tracking ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Physiological Computing Systems ; Retrieval of 3D Objects from Video Sequences ; Tracking of People and Surveillance

Abstract: Social robots require the ability to communicate and recognize the intention of a human interaction partner. Humans commonly make use of gestures for interactive purposes. For a social robot, recognition of gestures is therefore a necessary skill. As a common intermediate step, the pose of an individual is tracked over time making use of a body model. The acquisition of a suitable body model, i.e. self-starting the tracker, however, is a complex and challenging task. This paper presents an approach to facilitate the acquisition of the body model during interaction. Taking advantage of a robust face detection algorithm provides the opportunity for automatic and markerless acquisition of a 3D body model using a monocular color camera. For the given human robot interaction scenario, a prototype has been developed for a single user configuration. It provides automatic initialization and failure recovery of a 3D body tracker based on head and hand detection information, delivering promisi ng results. (More)

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Paper citation in several formats:
Schmidt, J. and Castrillón-Santana, M. (2008). AUTOMATIC INITIALIZATION FOR BODY TRACKING - Using Appearance to Learn a Model for Tracking Human Upper Body Motions. In Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP; ISBN 978-989-8111-21-0; ISSN 2184-4321, SciTePress, pages 535-542. DOI: 10.5220/0001071005350542

@conference{visapp08,
author={Joachim Schmidt. and Modesto Castrillón{-}Santana.},
title={AUTOMATIC INITIALIZATION FOR BODY TRACKING - Using Appearance to Learn a Model for Tracking Human Upper Body Motions},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP},
year={2008},
pages={535-542},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001071005350542},
isbn={978-989-8111-21-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP
TI - AUTOMATIC INITIALIZATION FOR BODY TRACKING - Using Appearance to Learn a Model for Tracking Human Upper Body Motions
SN - 978-989-8111-21-0
IS - 2184-4321
AU - Schmidt, J.
AU - Castrillón-Santana, M.
PY - 2008
SP - 535
EP - 542
DO - 10.5220/0001071005350542
PB - SciTePress