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Found 5 papers, 2 papers with code
Learning Data Association for Multi-Object Tracking using Only Coordinates
We propose a novel Transformer-based module to address the data association problem for multi-object tracking.
Transformers for 1D Signals in Parkinson's Disease Detection from Gait
This paper focuses on the detection of Parkinson's disease based on the analysis of a patient's gait.
Multi-Object Tracking and Segmentation with a Space-Time Memory Network
We propose a method for multi-object tracking and segmentation based on a novel memory-based mechanism to associate tracklets.
MeNToS: Tracklets Association with a Space-Time Memory Network
We propose a method for multi-object tracking and segmentation (MOTS) that does not require fine-tuning or per benchmark hyperparameter selection.
An Empirical Analysis of Visual Features for Multiple Object Tracking in Urban Scenes
Commonly used features are color histograms, histograms of oriented gradients, deep features from convolutional neural networks and re-identification (ReID) features.
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