TOWARDS DETECTING PEOPLE CARRYING OBJECTS - A Periodicity Dependency Pattern Approach

Tobias Senst, Rubén Heras Evangelio, Volker Eiselein, Michael Pätzold, Thomas Sikora

2010

Abstract

Detecting people carrying objects is a commonly formulated problem which results can be used as a first step in order to monitor interactions between people and objects in computer vision applications. In this paper we propose a novel method for this task. By using gray-value information instead of the contours obtained by a segmentation process we build up a system that is robust against segmentation errors. Experimental results show the validity of the method.

Paper Citation

in Harvard Style

Senst T., Heras Evangelio R., Eiselein V., Pätzold M. and Sikora T. (2010). TOWARDS DETECTING PEOPLE CARRYING OBJECTS - A Periodicity Dependency Pattern Approach . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-029-0, pages 524-529. DOI: 10.5220/0002845505240529

in Bibtex Style

@conference{visapp10,
author={Tobias Senst and Rubén Heras Evangelio and Volker Eiselein and Michael Pätzold and Thomas Sikora},
title={TOWARDS DETECTING PEOPLE CARRYING OBJECTS - A Periodicity Dependency Pattern Approach},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={524-529},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002845505240529},
isbn={978-989-674-029-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)
TI - TOWARDS DETECTING PEOPLE CARRYING OBJECTS - A Periodicity Dependency Pattern Approach
SN - 978-989-674-029-0
AU - Senst T.
AU - Heras Evangelio R.
AU - Eiselein V.
AU - Pätzold M.
AU - Sikora T.
PY - 2010
SP - 524
EP - 529
DO - 10.5220/0002845505240529