Human pose estimation via multi-layer composite models ?
We propose a novel multi-layer graphical model for human pose estimation. We conduct a broad and detailed literature review on hierarchical models, multi-scale models, and mixture models for human pose estimation. We propose a novel design of dual decomposition approach for efficient inference applied on the proposed multi-layer composite model. We propose a joint discriminative learning framework using structured SVM. We performed systematic evaluation on three challenging state-of-art pose estimation datasets using our model against baseline approaches.
human pose estimation object detection