Machine learning in motion analysis: New advances
A review of motion analysis methods for human Nonverbal Communication Computing
Markov Chain Monte Carlo Modular Ensemble Tracking
Simultaneous particle tracking in multi-action motion models with synthesized paths
Vector field analysis for multi-object behavior modeling
Two-layer dual gait generative models for human motion estimation from a single camera
On-line Support Vector Regression of the transition model for the Kalman filter
Learning to rank biological motion trajectories
Appearance-based navigation and homing for autonomous mobile robot