Images of Cylinders Transported on a Conveyor Belt - Recording 7
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This data set comprises images of cylinders on a conveyor belt. The images were recorded on the small-scale optical belt sorter Tablesort. A thorough description of the Tablesort system can be found in <em>Georg Maier, Florian Pfaff, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden, Thomas Längle, Uwe D. Hanebeck, Jürgen Beyerer,</em> <strong>Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking</strong>, Transactions on Industrial Electronics, February 2020. See also the project website. This dataset is part of a batch of recordings on optical sorters. Please use the search function with the keyword "Tobias Hornberger" (in quotes) to find them or use the list at https://doi.org/10.5281/zenodo.5506551 (conveyor belt data sets only). 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 GitHub<strong>.</strong> Each pixel is approximately 0.056 mm long in world coordinates. The frame rate is 192.9 Hz. Algorithms for two key challenges can be developed and evaluated on the data sets: Multitarget tracking for predicting the particle’s motion. This can be used to enhance the separation of optical sorters. For further details on this, see the publications <em>Florian Pfaff, Marcus Baum, Benjamin Noack, Uwe D. Hanebeck, Robin Gruna, Thomas Längle, Jürgen 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. <em>Florian Pfaff, Christoph Pieper, Georg Maier, Benjamin Noack, Robin Gruna, Harald Kruggel-Emden, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, Thomas Längle, Jürgen Beyerer,</em><br> <strong>Predictive Tracking with Improved Motion Models for Optical Belt Sorting</strong>,<br> at – Automatisierungstechnik, April 2020. 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 <em>Georg Maier, Florian Pfaff, Florian Becker, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden, Thomas Längle, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, Jürgen 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. <em>Georg Maier, Florian Pfaff, Florian Becker, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden, Thomas Längle, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, Jürgen Beyerer,</em><br> <strong>Motion-Based Material Characterization in Sensor-Based Sorting,</strong> <br> tm – Technisches Messen, De Gruyter, October 2017. <br> To this date, publications that used these data include <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. CSV-files with already associated particle tracks are available at https://doi.org/10.5281/zenodo.5506551. <strong>Acknowledgment</strong> 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.
本数据集包含传送带上圆柱工件的图像。该图像由小型光学带式分选机Tablesort采集得到。关于Tablesort系统的详细说明可参阅文献：Georg Maier、Florian Pfaff、Christoph Pieper、Robin Gruna、Benjamin Noack、Harald Kruggel-Emden、Thomas Längle、Uwe D. Hanebeck、Jürgen Beyerer，《一种具备预测性实时多目标跟踪的新型传感器分选方法的实验评估》，《工业电子学汇刊》，2020年2月。亦可查阅项目官网获取更多信息。 本数据集属于光学分选机批量采集数据集的一部分。可通过带引号的关键词"Tobias Hornberger"进行搜索，或访问https://doi.org/10.5281/zenodo.5506551获取相关列表（仅包含传送带数据集）。 图像采集使用Bonito CL-400C型号相机。外参校准图像可参见calibration_extrinsics.png，色彩校准图像可参见calibration_color.png。GitHub上可获取去拜耳处理脚本。世界坐标系下，每个像素对应实际长度约0.056 mm，图像帧率为192.9 Hz。 本数据集可用于开发并评估两类关键挑战的算法：一是预测颗粒运动的多目标跟踪算法，该算法可用于提升光学分选机的分选性能。相关细节可参阅文献： Florian Pfaff、Marcus Baum、Benjamin Noack、Uwe D. Hanebeck、Robin Gruna、Thomas Längle、Jürgen Beyerer，《TrackSort：用于分选非合作散料的预测性跟踪方法》，2015年IEEE多传感器融合与智能系统国际会议（MFI 2015）论文集，美国加利福尼亚州圣迭戈，2015年9月。 Florian Pfaff、Christoph Pieper、Georg Maier、Benjamin Noack、Robin Gruna、Harald Kruggel-Emden、Uwe D. Hanebeck、Siegmar Wirtz、Viktor Scherer、Thomas Längle、Jürgen Beyerer，《面向光学带式分选的改进运动模型预测性跟踪》，《自动化技术》，2020年4月。 二是颗粒分类算法。颗粒分类可借助多目标跟踪器随时间累积视觉特征，也可利用轨迹信息完成分类。相关细节可参阅文献： Georg Maier、Florian Pfaff、Florian Becker、Christoph Pieper、Robin Gruna、Benjamin Noack、Harald Kruggel-Emden、Thomas Längle、Uwe D. Hanebeck、Siegmar Wirtz、Viktor Scherer、Jürgen Beyerer，《利用运动信息提升传感器分选的材料表征精度》，第三届材料光学表征会议（OCM 2017）论文集，德国卡尔斯鲁厄，2017年3月。 Georg Maier、Florian Pfaff、Florian Becker、Christoph Pieper、Robin Gruna、Benjamin Noack、Harald Kruggel-Emden、Thomas Längle、Uwe D. Hanebeck、Siegmar Wirtz、Viktor Scherer、Jürgen Beyerer，《传感器分选场景下基于运动的材料表征》，《tm——技术测量》，De Gruyter出版社，2017年10月。 截至目前，使用本数据集的已发表文献包括： Daniel Pollithy、Marcel Reith-Braun、Florian Pfaff、Uwe D. Hanebeck，《循环神经网络在多目标跟踪中的不确定性估计》，2020年IEEE多传感器融合与智能系统国际会议（MFI 2020）论文集，线上举办，2020年9月。 已完成关联的颗粒跟踪轨迹CSV文件可访问https://doi.org/10.5281/zenodo.5506551获取。 致谢 本研究由德国联邦经济事务与能源部基于德国联邦议会决议，通过AiF的工业共同体研究与发展（IGF）资助计划，为研究协会Forschungs-Gesellschaft Verfahrens-Technik e.V.（GVT）的IGF项目20354 N提供支持。
