7 datasets found

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...

The dataset used for the MOT20 challenge, which consists of 8 different sequences depicting very crowded challenging scenes.

MOT-Challenge datasets are a benchmark for multi-object tracking.

MOT-Challenge datasets are a benchmark for multi-object tracking.

MOT-Challenge datasets are a benchmark for multi-object tracking.

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...

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...