Benchmark Datasets for Pose Estimation and Tracking

Abstract

This chapter discusses the needs for standard datasets in the articulated pose estimation and tracking communities. It describes the datasets that are currently available and the performance of state-of-the-art methods on them. We discuss issues of ground-truth collection and quality, complexity of appearance and poses, evaluation metrics and partitioning of data. We also discusses limitations of current datasets and possible directions in developing new datasets for future use.