ABSTRACT
This paper explains how to detect the 2D pose of multiple people in an image. We use in this paper Part Affinity Fields
for Part Association (It is non-parametric representation), Confidence Maps for Part Detection, Multi-Person Parsing
using PAFs, Simultaneous Detection and Association, this method achieve high accuracy and performance regardless
the number of people in the image. This architecture placed first within the inaugural COCO 2016 key points
challenge. Also, this architecture exceeds the previous state-of-the-art result on the MPII Multi-Person benchmark,
both in performance and efficiency.
Keywords: - Real time performance, Part affinity fields, Part detection, Multi-person parsing, Confidence maps