MOT-16

MOT16 is a benchmark dataset that contains monocular video sequences for evaluating multiple people tracking algorithms, focusing on challenges such as occlusions and crowded scenes.

Papers using MOT-16 (4)

Probabilistic Tracklet Scoring And Inpainting For Multiple Object Tracking2020 · 85 citesOcclusion-robust Online Multi-object Visual Tracking Using A GM-PHD Filter With Cnn-based Re-identification2019 · 33 citesMultiple People Tracking Using Hierarchical Deep Tracklet Re-identification2018 · 21 citesEnd-to-End Multi-Object Tracking with Global Response Map2020