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MOTChallenge: A Benchmark for Single-camera Multiple Target Tracking., , , , , , , and . CoRR, (2020)HOTA: A Higher Order Metric for Evaluating Multi-Object Tracking., , , , , , and . CoRR, (2020)Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking?, , , and . NeurIPS, (2022)MOT20: A benchmark for multi object tracking in crowded scenes., , , , , , , , and . CoRR, (2020)Deep Learning for Human Motion: Advancing Trajectory Prediction and Multi-Object Tracking (Deep Learning für menschliche Bewegungsmodelle: Fortschritte in Trajektorienvorhersage und Personentracking). Technical University of Munich, Germany, (2023)MOTCOM: The Multi-Object Tracking Dataset Complexity Metric., , , and . ECCV (8), volume 13668 of Lecture Notes in Computer Science, page 20-37. Springer, (2022)CVPR19 Tracking and Detection Challenge: How crowded can it get?, , , , , , , , and . CoRR, (2019)MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction., , and . ICCV, page 13138-13147. IEEE, (2021)HOTA: A Higher Order Metric for Evaluating Multi-object Tracking., , , , , , and . Int. J. Comput. Vis., 129 (2): 548-578 (2021)MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking., , , , , , , and . Int. J. Comput. Vis., 129 (4): 845-881 (2021)