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.

References

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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