Human-in-Events
A new large-scale dataset for understanding human motions, poses, and actions in a variety of realistic events, especially crowd & complex events. It contains a record number of poses (>1M), the largest number of action labels (>56k) for complex events, and one of the largest number of trajectories lasting for long terms (with average trajectory length >480). Besides, an online evaluation server is built for researchers to evaluate their approaches.
Source: Human in Events: A Large-Scale Benchmark for Human-centric Video Analysis in Complex Events
Variants: HiEve
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Multi-Object Tracking | SGT | Detection Recovery in Online Multi-Object … | 2022-05-02 |
| Multi-Object Tracking | CSTrack | Rethinking the competition between detection … | 2020-10-23 |
| Multi-Object Tracking | FairMOT | FairMOT: On the Fairness of … | 2020-04-04 |
| Multi-Object Tracking | JDE | Towards Real-Time Multi-Object Tracking | 2019-09-27 |
Recent papers with results on this dataset: