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NLPR MCT dataset
The NLPR MCT dataset consists of four sub-datasets. Each sub-dataset includes 3-5 cameras with non-overlapping scenes and has a different situation according to the number of... -
DanceTrack
Many Multi-Object Tracking (MOT) approaches exploit motion information to associate all the detected objects across frames. However, many methods that rely on filtering-based... -
ETH Zurich Walking Pedestrians Dataset
Walking pedestrians dataset containing 5 video sequences with 1536 pedestrians. -
MOTS Challenge
The MOTS Challenge dataset is a real-world video dataset consisting of pedestrian tracking and segmentation. -
MOT20: A Benchmark for Multi-Object Tracking
MOT-Challenge datasets are a benchmark for multi-object tracking. -
MOT16: A Benchmark for Multi-Object Tracking
MOT-Challenge datasets are a benchmark for multi-object tracking. -
MOT-Challenge datasets
MOT-Challenge datasets are a benchmark for multi-object tracking. -
Tracklet-Switch Adversarial Attack against Pedestrian Multi-Object Tracking T...
Multi-Object Tracking (MOT) has achieved aggressive progress and derived many excellent deep learning trackers. Meanwhile, most deep learning models are known to be vulnerable... -
Leibniz University Hannover
Imported
i.c.sens Multi-view pedestrian tracking dataset
This dataset was acquired for the purpose of collaborative pedestrian tracking from multiple viewpoints. This dataset consists of 29 image sequences which capture trajectories...
