Images of Cylinders Transported on a Conveyor Belt - Recording 4

<p>This data set comprises images of cylinders&nbsp;on a conveyor belt. The images were recorded on the small-scale optical belt sorter Tablesort.&nbsp;A thorough description of the Tablesort system can be found in</p> <ul> <li><em>Georg Maier, Florian Pfaff, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden, Thomas L&auml;ngle, Uwe D. Hanebeck, J&uuml;rgen Beyerer,</em>&nbsp;<strong>Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking</strong>, Transactions on Industrial Electronics, February 2020.</li> <li>See also the <a href="https://www.iosb.fraunhofer.de/en/projects-and-products/inside-schuettgut.html">project website</a>.</li> </ul> <p>This dataset is part of a batch of recordings on optical sorters. Please use the search function with the keyword &quot;Tobias Hornberger&quot; (in quotes) to find them or use the list at&nbsp;<a href="https://doi.org/10.5281/zenodo.5506551">https://doi.org/10.5281/zenodo.5506551</a>&nbsp;(conveyor belt data sets only).</p> <p>The camera was recorded on a Bonito CL-400C. The calibration image for the extrinsic parameters can be found in calibration_extrinsics.png for the extrinsics and calibration_color.png for the color calibration. Please see the debayer script on <a href="https://github.com/geomai/debayer_bonito">GitHub</a><strong>.</strong> Each pixel is approximately 0.056 mm long in world coordinates. The frame rate is 192.9 Hz.</p> <p>Algorithms for two key challenges can be developed and evaluated on the data sets:</p> <ol> <li>Multitarget tracking for predicting the particle&rsquo;s motion. This can be used to enhance the separation of optical sorters. For further details on this, see the publications <ul> <li><em>Florian Pfaff, Marcus Baum, Benjamin Noack, Uwe D. Hanebeck, Robin Gruna, Thomas L&auml;ngle, J&uuml;rgen Beyerer,</em><br> <strong>TrackSort: Predictive Tracking for Sorting Uncooperative Bulk Materials,</strong><br> Proceedings of the 2015 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2015), San Diego, California, USA, September 2015.</li> <li><em>Florian Pfaff, Christoph Pieper, Georg Maier, Benjamin Noack, Robin Gruna, Harald Kruggel-Emden, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, Thomas L&auml;ngle, J&uuml;rgen Beyerer,</em><br> <strong>Predictive Tracking with Improved Motion Models for Optical Belt Sorting</strong>,<br> at &ndash; Automatisierungstechnik, April 2020.</li> </ul> </li> <li>Classification of particles. The classification may use a multitarget tracker to accumulate visual features over time. One can also use the information on the trajectory to classify the particles. For information on this, refer to <ul> <li><em>Georg Maier, Florian Pfaff, Florian Becker, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden, Thomas L&auml;ngle, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, J&uuml;rgen Beyerer,</em><br> <strong>Improving Material Characterization in Sensor-Based Sorting by Utilizing Motion Information,</strong><br> Proceedings of the 3rd Conference on Optical Characterization of Materials (OCM 2017), Karlsruhe, Germany, March 2017.</li> <li><em>Georg Maier, Florian Pfaff, Florian Becker, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden, Thomas L&auml;ngle, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, J&uuml;rgen Beyerer,</em><br> <strong>Motion-Based Material Characterization in Sensor-Based Sorting,</strong>&nbsp;<br> tm &ndash; Technisches Messen, De Gruyter, October 2017.</li> </ul> </li> </ol> <p><br> To this date, publications that used these data include</p> <ul> <li><em>Daniel Pollithy, Marcel Reith-Braun, Florian Pfaff, Uwe D. Hanebeck,</em><br> <strong>Estimating Uncertainties of Recurrent Neural Networks in Application to Multitarget Tracking</strong>,<br> Proceedings of the 2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2020), Virtual, September 2020.</li> </ul> <p>CSV-files with already associated particle tracks are&nbsp;available at <a href="https://doi.org/10.5281/zenodo.5506551">https://doi.org/10.5281/zenodo.5506551</a>.</p> <p><strong>Acknowledgment</strong></p> <p>The IGF project 20354 N of the research association Forschungs-Gesellschaft Verfahrens-Technik e.V. (GVT) was supported via the AiF in a program to promote the Industrial Community Research and Development (IGF) by the Federal Ministry for Economic Affairs and Energy on the basis of a resolution of the German Bundestag.</p>