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Improving multitarget tracking using orientation estimates for sorting bulk materials

 
: Pfaff, F.; Kurz, G.; Pieper, C.; Maier, Georg; Noack, B.; Kruggel-Emden, H.; Gruna, Robin; Hanebeck, U.D.; Wirtz, S.; Scherer, V.; Längle, Thomas; Beyerer, Jürgen

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Postprint urn:nbn:de:0011-n-4800832 (482 KByte PDF)
MD5 Fingerprint: 2bac013b61064375302c7c216fa242df
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Created on: 11.1.2018


Institute of Electrical and Electronics Engineers -IEEE-:
IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2017 : November 16-18, 2017, Daegu, Korea
Piscataway, NJ: IEEE, 2017
ISBN: 978-1-5090-6064-1
ISBN: 978-1-5090-6063-4
ISBN: 978-1-5090-6065-8
pp.553-558
International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) <2017, Daegu/Korea>
English
Conference Paper, Electronic Publication
Fraunhofer IOSB ()

Abstract
Optical belt sorters can be used to sort a large variety of bulk materials. By the use of sophisticated algorithms, the performance of the complex machinery can be further improved. Recently, we have proposed an extension to industrial optical belt sorters that involves tracking the individual particles on the belt using an area scan camera. If the estimated behavior of the particles matches the true behavior, the reliability of the separation process can be improved. The approach relies on multitarget tracking using hard association decisions between the tracks and the measurements. In this paper, we propose to include the orientation in the assessment of the compatibility of a track and a measurement. This allows us to achieve more reliable associations, facilitating a higher accuracy of the tracking results.

: http://publica.fraunhofer.de/documents/N-480083.html