Ego-Action Analysis for First-Person Sports Videos - Robotics Institute Carnegie Mellon University

Ego-Action Analysis for First-Person Sports Videos

Kris M. Kitani
Magazine Article, IEEE Pervasive Computing, Vol. 11, No. 2, pp. 92 - 95, February, 2012

Abstract

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.

BibTeX

@periodical{Kitani-2012-109863,
author = {Kris M. Kitani},
title = {Ego-Action Analysis for First-Person Sports Videos},
journal = {IEEE Pervasive Computing},
year = {2012},
month = {February},
pages = {92 - 95},
volume = {11},
}
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