computer-vision-5
Group Activity Recognition
3260 papers • 126 benchmarks • 313 datasets
Group Activity Recognition is a subset of human activity recognition problem which focuses on the collective behavior of a group of people, resulted from the individual actions of the persons and their interactions. Collective activity recognition is a basic task for automatic human behavior analysis in many areas like surveillance or sports videos. Source: A Multi-Stream Convolutional Neural Network Framework for Group Activity Recognition
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Volleyball
Volleyball
Collective Activity
Collective Activity
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Most implemented papers
Revisiting Skeleton-based Action Recognition
Dahua Lin, Dian Shao, Yue Zhao, Bo Dai, Kai Chen, Haodong Duan•Tue Apr 27 2021
PoseConv3D is more effective in learning spatiotemporal features, more robust against pose estimation noises, and generalizes better in cross-dataset settings, and achieves the state-of-the-art on all eight multi-modality action recognition benchmarks.
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