Apr 11, 2023 · We present a new large-scale multi-object tracking dataset in diverse sports scenes, coined as \emph{SportsMOT}, where all players on the court are supposed to ...
Our dataset is characterized with two key properties: 1) fast and variable-speed motion and 2) similar yet distinguish- able appearance. We expect SportsMOT to ...
We propose a large-scale multi-object tracking dataset named SportsMOT, consisting of 240 video clips from 3 categories (ie, basketball, football and ...
We propose a large-scale multi-object tracking dataset named SportsMOT, consisting of 240 video clips from 3 categories (ie, basketball, football and ...
We propose a large-scale multi-object tracking dataset named SportsMOT, consisting of 240 video clips from 3 categories (ie, basketball, football and ...
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A new multi-object tracking framework, termed as MixSort, introducing a MixFormer-like structure as an auxiliary association model to prevailing ...
It consists of 240 video sequences, over 150K frames (almost 15x MOT17) and over 1.6M bounding boxes (3x MOT17) collected from 3 sports categories, including ...
The current state-of-the-art on SportsMOT is Deep HM-SORT. See a full comparison of 18 papers with code.
In this work, we present a new large-scale multi- object tracking dataset in multiple sports scenes, coined as SportsMOT, where all players on the court are sup ...
Duration: 4:56
Posted: Jun 23, 2024
Posted: Jun 23, 2024