AeS-GCN: Attention-enhanced semantic-guided graph convolutional networks for skeleton-based action recognition.
Qing XuFeng LiuZiwang FuAimin ZhouJiayin QiPublished in: Comput. Animat. Virtual Worlds (2022)
Keyphrases
- action recognition
- human actions
- bag of words
- human detection
- activity recognition
- computer vision
- spatial temporal
- action classification
- recognition of human actions
- static images
- body parts
- recognizing human actions
- action primitives
- semantic information
- recognizing actions
- bag of features
- mid level
- high level
- depth sensors
- independent subspace analysis
- view invariant action recognition
- video dataset
- graph structure
- human activities
- action detection
- depth cameras
- human pose
- action recognition in videos
- space time
- machine learning