Focus on temporal graph convolutional networks with unified attention for skeleton-based action recognition.
Bingkun GaoLe DongHongbo BiYun-Ze BiPublished in: Appl. Intell. (2022)
Keyphrases
- action recognition
- spatial temporal
- human actions
- bag of words
- human detection
- action classification
- computer vision
- activity recognition
- motion history images
- spatio temporal
- body parts
- bag of features
- recognizing human actions
- recognition of human actions
- action primitives
- static images
- view invariant
- view invariant action recognition
- temporal information
- depth cameras
- max margin
- human pose
- graph mining
- latent variables
- human object interactions
- recognizing actions
- human activities
- object recognition