Joint Track Auto
JTA is a dataset for people tracking in urban scenarios by exploiting a photorealistic videogame. It is up to now the vastest dataset (about 500.000 frames, almost 10 million body poses) of human body parts for people tracking in urban scenarios.
Source: Learning to Detect and Track Visible and Occluded Body Joints in a Virtual World
Variants: JTA
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| 3D Human Pose Estimation | Dual network | Dual networks based 3D Multi-Person … | 2022-05-02 |
Recent papers with results on this dataset: