GAS-GCN: Gated Action-Specific Graph Convolutional Networks for Skeleton-Based Action Recognition.
Wensong ChanZhiqiang TianYang WuPublished in: Sensors (2020)
Keyphrases
- action recognition
- human actions
- action classification
- recognizing human actions
- recognizing actions
- recognition of human actions
- view invariant
- action detection
- action primitives
- activity recognition
- computer vision
- spatial temporal
- human detection
- bag of words
- body parts
- bag of features
- human pose
- spatio temporal
- space time interest points
- depth sensors
- high level
- atomic actions
- video dataset
- motion history images
- static images
- graph structure
- motion recognition
- human activities
- space time
- action recognition in videos
- independent subspace analysis
- multi view