Description: 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
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