Introduction: The goal of the HumanEva dataset is to develop new techniques, technology, and

algorithms for the automatic articulated pose estimation and tracking of humans. Brown University

is involved in an ongoing effort to develop this dataset of synchronized video and motion capture

data. The dataset is meant to aid research efforts in the general area of developing, testing and

uating algorithms for human motion estimation. Brown University has