Linear latent low dimensional space for online early action recognition and prediction.
Victoria BloomVasileios ArgyriouDimitrios MakrisPublished in: Pattern Recognit. (2017)
Keyphrases
- action recognition
- low dimensional
- high dimensional
- linear subspace
- latent space
- bag of words
- input space
- human actions
- principal component analysis
- computer vision
- action classification
- dimensionality reduction
- human detection
- body parts
- recognizing human actions
- activity recognition
- data points
- independent subspace analysis
- static images
- feature space
- spatial temporal
- manifold learning
- view invariant
- depth sensors
- human pose
- human activities
- action detection
- action recognition in videos
- view invariant action recognition
- recognition of human actions
- video dataset
- bag of features
- depth information
- latent variables
- human computer interaction
- image classification
- feature selection