Published February 22, 2022
| Version v1
Dataset
Open
Unsupervised Multiple-Object Tracking with a Dynamical Variational Autoencoder
Authors/Creators
- 1. Inria Grenoble Rhône-Alpes
- 2. Grenoble-INP, Institut Polytechnique de Grenoble
Description
This is the public dataset of synthetic trajectories and MOT17-3T, which is used in paper Unsupervised Multiple-Object Tracking with a Dynamical Variational Autoencoder. The source code can be found here.