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Semi-Automated Computer Vision based Tracking of Multiple Industrial Entities - A Framework and Dataset Creation Approach.

, , , , , , and . CoRR, (2023)

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Applications of human activity recognition in industrial processes - Synergy of human and technology., , , and . CoRR, (2022)Semi-automated computer vision-based tracking of multiple industrial entities: a framework and dataset creation approach., , , , , , and . EURASIP J. Image Video Process., 2024 (1): 8 (December 2024)Chances of Interpretable Transfer Learning for Human Activity Recognition in Warehousing., , , , and . ICCL, volume 13004 of Lecture Notes in Computer Science, page 163-177. Springer, (2021)Annotation Performance for multi-channel time series HAR Dataset in Logistics., , , , and . PerCom Workshops, page 1-6. IEEE, (2020)On the Applicability of Synthetic Data for Re-Identification., , , , and . CoRR, (2022)A Grid-based Sensor Floor Platform for Robot Localization using Machine Learning., , , , , and . CoRR, (2022)Object Pose Estimation Annotation Pipeline for Multi-view Monocular Camera Systems in Industrial Settings., , , , and . CoRR, (2023)Human Activity Recognition for Production and Logistics - A Systematic Literature Review., , , , and . Information, 10 (8): 245 (2019)Deep Learning Based Re-Identification of Wooden Euro-pallets., , , , and . ICMLA, page 113-117. IEEE, (2022)Benchmarking Annotation Procedures for Multi-channel Time Series HAR Dataset., , , , , and . PerCom Workshops, page 453-458. IEEE, (2021)