Fine-grained action recognition using multi-view attentions

Yisheng Zhu; Guangcan Liu

doi:10.1007/s00371-019-01770-y

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Fine-grained action recognition using multi-view attentions

Yisheng Zhu Guangcan Liu

Year: 2019 Journal: The Visual Computer Vol: 36 (9)Pages: 1771-1781 Publisher: Springer Science+Business Media

DOI: 10.1007/s00371-019-01770-y

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Keywords:

Computer science RGB color model Convolution (computer science) Block (permutation group theory) Channel (broadcasting) Optical flow Artificial intelligence Aggregate (composite) Action recognition Reuse Pattern recognition (psychology) Action (physics) Image (mathematics) Artificial neural network Telecommunications Mathematics

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Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Hand Gesture Recognition Systems

Physical Sciences → Computer Science → Human-Computer Interaction

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Fine-grained action recognition using multi-view attentions

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