A Comparison between Anatomy-Based and Data-Driven Tree Models for Human Pose Estimation

Abstract

Tree structures are commonly used to model relationships between body parts for articulated Human Pose Estimation (HPE). Tree structures can be used to model relationships among feature maps of joints in a structured learning framework using Convolutional Neural Networks (CNNs). This paper proposes new data-driven tree models for HPE. The data-driven tree… (More)
DOI: 10.1109/DICTA.2017.8227386

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