TOWARDS EMBEDDED WASTE SORTING - Using Constellations of Visual Words

Toon Goedemé

Abstract

In this paper, we present a method for fast and robust object recognition, especially developed for implementation on an embedded platform. As an example, the method is applied to the automatic sorting of consumer waste. Out of a stream of different thrown-away food packages, specific items — in this case beverage cartons — can be visually recognised and sorted out. To facilitate and optimise the implementation of this algorithm on an embedded platform containing parallel hardware, we developed a voting scheme for constellations of visual words, i.e. clustered local features (SURF in this case). On top of easy implementation and robust and fast performance, even with large databases, an extra advantage is that this method can handle multiple identical visual features in one model.

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Paper Citation


in Harvard Style

Goedemé T. (2008). TOWARDS EMBEDDED WASTE SORTING - Using Constellations of Visual Words . 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 93-98. DOI: 10.5220/0001082300930098


in Bibtex Style

@conference{visapp08,
author={Toon Goedemé},
title={TOWARDS EMBEDDED WASTE SORTING - Using Constellations of Visual Words},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={93-98},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001082300930098},
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 - TOWARDS EMBEDDED WASTE SORTING - Using Constellations of Visual Words
SN - 978-989-8111-21-0
AU - Goedemé T.
PY - 2008
SP - 93
EP - 98
DO - 10.5220/0001082300930098