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TrackSort: Predictive tracking for sorting uncooperative bulk materials

 
: Pfaff, F.; Baum, M.; Noack, B.; Hanebeck, U.D.; Gruna, Robin; Längle, Thomas; Beyerer, Jürgen

:
Postprint urn:nbn:de:0011-n-3640567 (1.0 MByte PDF)
MD5 Fingerprint: c6c8e0fad26fc2479075d8fb3d7afe4c
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Erstellt am: 20.10.2015


Institute of Electrical and Electronics Engineers -IEEE-:
IEEE International Conference on Multisensor Fusion and lntegration for Intelligent Systems, MFI 2015 : 14-16 September 2015, San Diego, California, USA
Piscataway, NJ: IEEE, 2015
ISBN: 978-1-4799-7772-7
S.7-12
International Conference on Multisensor Fusion and lntegration for Intelligent Systems (MFI) <2015, San Diego/Calif.>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()

Abstract
Optical belt sorters are a versatile, state-of-the art technology to sort bulk materials that are hard to sort based on only nonvisual properties. In this paper, we propose an extension to current optical belt sorters that involves replacing the line camera with an area camera to observe a wider field of view, allowing us to observe each particle over multiple time steps. By performing multitarget tracking, we are able to improve the prediction of each particle’s movement and thus enhance the performance of the utilized separation mechanism. We show that our approach will allow belt sorters to handle new classes of bulk materials while improving cost efficiency. Furthermore, we lay out additional extensions that are made possible by our new paradigm.

: http://publica.fraunhofer.de/dokumente/N-364056.html