Okutama-Action
Introduced by Barekatain et al. in Okutama-Action: An Aerial View Video Dataset for Concurrent Human Action Detection
A new video dataset for aerial view concurrent human action detection. It consists of 43 minute-long fully-annotated sequences with 12 action classes. Okutama-Action features many challenges missing in current datasets, including dynamic transition of actions, significant changes in scale and aspect ratio, abrupt camera movement, as well as multi-labeled actors.
Source: Okutama-Action: An Aerial View Video Dataset for Concurrent Human Action DetectionBenchmarks
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Okutama-Action
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PLAR with bbox
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Papers
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