Pedestrian Path, Pose, and Intention Prediction Through Gaussian Process Dynamical Models and Pedestrian Activity Recognition.
Raúl Quintero MinguezIgnacio Parra AlonsoDavid Fernández LlorcaMiguel Ángel SoteloPublished in: IEEE Trans. Intell. Transp. Syst. (2019)
Keyphrases
- gaussian process
- activity recognition
- dynamical models
- dynamical model
- gaussian processes
- pose tracking
- human activities
- bayesian framework
- regression model
- action recognition
- model selection
- hyperparameters
- dynamical systems
- semi supervised
- human motion
- latent variables
- transfer learning
- pose estimation
- cross validation
- human pose estimation
- closed form
- video sequences
- visual tracking