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SotA/Computer Vision/Multiple Object Tracking

Multiple Object Tracking

37 benchmarks318 papers

Multiple Object Tracking is the problem of automatically identifying multiple objects in a video and representing them as a set of trajectories with high accuracy.

<span class="description-source">Source: SOT for MOT </span>

Benchmarks

Multiple Object Tracking on KITTI Test (Online Methods)

MOTAHOTAIDSW

Multiple Object Tracking on SportsMOT

HOTAIDF1AssAMOTADetA

Multiple Object Tracking on BDD100K val

mMOTAmIDF1TETAAssocAmMOTSA

Multiple Object Tracking on BDD100K test

mMOTAmIDF1mHOTA

Multiple Object Tracking on CroHD

MOTAIDF1IDEuclIDsMLMTHOTA

Multiple Object Tracking on KITTI Test (Offline Methods)

HOTA

Multiple Object Tracking on RADIATE

MOTA

Multiple Object Tracking on Waymo Open Dataset

MOTAmAPCategory

Multiple Object Tracking on GMOT-40

HOTAIDF1MOTA

Multiple Object Tracking on MOT20

HOTAMOTAIDF1

Multiple Object Tracking on UA-DETRAC

MOTA

Multiple Object Tracking on YouTube-Hands

MOTAHOTA