Pedestrian Trajectory Prediction with Pose Representation and Latent Space Variables.
Anderson Carlos Dos SantosValdir GrassiPublished in: LARS/SBR/WRE (2021)
Keyphrases
- latent space
- low dimensional
- latent variables
- gaussian process latent variable models
- generative model
- gaussian process
- parameter space
- feature space
- high dimensional
- dimensionality reduction
- lower dimensional
- body pose
- pose estimation
- matrix factorization
- distance metric
- probabilistic latent semantic analysis
- manifold learning
- computer vision
- gaussian processes
- random variables
- machine learning
- data sets
- euclidean distance
- high dimensional spaces
- high dimensional data
- d objects
- pose space