MOT-20

MOT20 MOT20 is a benchmark dataset for single-camera multi-object tracking (MOT) and pedestrian detection in very crowded real-world scenes. This Hugging Face repository provides MOT20 in the original MOTChallenge-style structure for research, benchmarking, training, and evaluation of multi-object tracking systems. MOT

Papers using MOT-20 (9)

Probabilistic Tracklet Scoring And Inpainting For Multiple Object Tracking2020 · 85 citesLITE: A Paradigm Shift In Multi-object Tracking With Efficient Reid Feature Integration2024 · 1 citesSimple Cues Lead To A Strong Multi-object Tracker2022 · 6 citesWhen To Extract Reid Features: A Selective Approach For Improved Multiple Object Tracking2024Localization-based Tracking2021TransTrack: Multiple Object Tracking with Transformer2020 · 359 citesDeep OC-SORT: Multi-Pedestrian Tracking by Adaptive Re-Identification2023 · 10 citesTracking Objects as Pixel-wise Distributions2022 · 1 citesDeNoising-MOT: Towards Multiple Object Tracking with Severe Occlusions2023