Images of Balls Transported on a Chute - Recording 3

This data set comprises images of balls on a chute. The images were recorded on the small-scale optical belt sorter Tablesort. A thorough description of the Tablesort system can be found in Georg Maier, Florian Pfaff, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden, Thomas Längle, Uwe D. Hanebeck, Jürgen Beyerer, Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking, 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. 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. 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 Florian Pfaff, Marcus Baum, Benjamin Noack, Uwe D. Hanebeck, Robin Gruna, Thomas Längle, Jürgen Beyerer, TrackSort: Predictive Tracking for Sorting Uncooperative Bulk Materials, Proceedings of the 2015 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2015), San Diego, California, USA, September 2015. Florian Pfaff, Christoph Pieper, Georg Maier, Benjamin Noack, Robin Gruna, Harald Kruggel-Emden, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, Thomas Längle, Jürgen Beyerer, Predictive Tracking with Improved Motion Models for Optical Belt Sorting, 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 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, Improving Material Characterization in Sensor-Based Sorting by Utilizing Motion Information, Proceedings of the 3rd Conference on Optical Characterization of Materials (OCM 2017), Karlsruhe, Germany, March 2017. 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, Motion-Based Material Characterization in Sensor-Based Sorting, tm – Technisches Messen, De Gruyter, October 2017. Acknowledgment 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.本数据集包含滑槽上球体的图像。所有图像均在小型光学皮带分选机Tablesort上采集完成。关于Tablesort系统的详细说明，可参阅Georg Maier、Florian Pfaff、Christoph Pieper、Robin Gruna、Benjamin Noack、Harald Kruggel-Emden、Thomas Längle、Uwe D. Hanebeck、Jürgen Beyerer发表于《IEEE Transactions on Industrial Electronics》2020年2月的论文《Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking》。相关内容亦可查阅项目官网。 本数据集属于光学分选机同批次采集数据的一部分。请使用搜索功能，以带引号的关键词"Tobias Hornberger"进行检索，以获取同批次全部数据。图像采集所用相机为Bonito CL-400C。外参标定图像为calibration_extrinsics.png，色彩标定图像为calibration_color.png。相关去拜耳化处理脚本可在GitHub平台获取。本数据集的采集帧率为192.9 Hz。 基于本数据集，可开发并评估针对两项核心挑战的算法： 1. 多目标跟踪：用于预测颗粒运动轨迹，以此优化光学分选机的分选效果。相关细节可参阅以下两篇论文： - Florian Pfaff、Marcus Baum、Benjamin Noack、Uwe D. Hanebeck、Robin Gruna、Thomas Längle、Jürgen Beyerer发表于2015年9月美国加利福尼亚州圣地亚哥举办的2015 IEEE多传感器融合与智能系统国际会议（MFI 2015）的论文《TrackSort: Predictive Tracking for Sorting Uncooperative Bulk Materials》； - 发表于《Automatisierungstechnik》2020年4月的论文《Predictive Tracking with Improved Motion Models for Optical Belt Sorting》，作者包括Florian Pfaff、Christoph Pieper、Georg Maier、Benjamin Noack、Robin Gruna、Harald Kruggel-Emden、Uwe D. Hanebeck、Siegmar Wirtz、Viktor Scherer、Thomas Längle、Jürgen Beyerer。 2. 颗粒分类：分类任务可借助多目标跟踪器实时累积视觉特征，亦可利用颗粒运动轨迹信息完成分类。相关细节可参阅以下两篇论文： - 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发表于2017年3月德国卡尔斯鲁厄第三届材料光学表征国际会议（OCM 2017）的论文《Improving Material Characterization in Sensor-Based Sorting by Utilizing Motion Information》； - 发表于《tm – Technisches Messen》2017年10月（De Gruyter出版社）的论文《Motion-Based Material Characterization in Sensor-Based Sorting》，作者包括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。 致谢 本研究受德国工艺技术研究协会（Forschungs-Gesellschaft Verfahrens-Technik e.V., GVT）的IGF项目20354 N资助，该项目由德国联邦经济事务与能源部依据德国联邦议院决议，通过AiF的工业共同体研究与发展（IGF）资助计划提供支持。