Ego-Action Analysis for First-Person Sports Videos

摘要

A new algorithm enables a fully automatic real-time video segmentation solution for dynamic first-person sports videos. The proposed approach leverages the latest in robust vision-based ego-motion estimation and unsupervised learning using nonparametric Bayesian modeling.