Multi Object Tracking
Multi-object tracking is a task in computer vision that involves detecting and tracking multiple targets in a video sequence. Its goal is to identify and locate the objects of interest in each frame and track their motion trajectories across frames through data association techniques. This task is challenging due to factors such as occlusion, motion blur, and changes in target appearance, and typically employs solutions that combine object detection with data association algorithms. It has significant application value.
2024 AI City Challenge
2D MOT 2015
GSDT
2DMOT15
FairMOT
BDD100K
CO-MOT
DanceTrack
MOTIP (Deformable DETR, with DanceTrack val and CrowdHuman)
HiEve
CSTrack
JRDB
MOT15
Baseline+MFW
MOT15_3D
MPLT
MOT16
PPTracking
MOT17
BoostTrack++
MOT20
GSDT
MOTS20
MultiviewX
TrackTacular (Bilinear Sampling)
PersonPath22
ByteTrack
SeaDronesSee
SportsMOT
Deep-EIoU
Synthehicle
Baseline
TAO
AED (Co-DETR)
UAVDT
DroneMOT
VisDrone2019
Wildtrack
TrackTacular (Bilinear Sampling)