HiEve (Human-in-Events)
Introduced by Lin et al. in Human in Events: A Large-Scale Benchmark for Human-centric Video Analysis in Complex 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
Papers
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