AUTOMATIC INITIALIZATION FOR BODY TRACKING - Using Appearance to Learn a Model for Tracking Human Upper Body Motions

Joachim Schmidt, Modesto Castrillón-Santana

2008

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 promising results.

Paper Citation

in Harvard Style

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 - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 535-542. DOI: 10.5220/0001071005350542

in Bibtex Style

@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 - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={535-542},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001071005350542},
isbn={978-989-8111-21-0},
}

in EndNote Style

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