Fast Human Pose Estimation using Appearance and Motion via Multi-Dimensional Boosting Regression

摘要

We address the problem of estimating human pose in video sequences, where rough location has been determined. We exploit both appearance and motion information by defining suitable features of an image and its temporal neighbors, and learning a regression