Realtime Multi-Person 2D Pose Estimation
Journal: International Journal of Advanced Networking and Applications (Vol.11, No. 06)Publication Date: 2020-06-08
Authors : Mona Nasr; Rana Osama; Hussein Ayman; Nouran Mosaad; Nourhan Ebrahim; Adriana mounir;
Page : 4501-4508
Keywords : Real time performance; Part affinity fields; Part detection; Multi-person parsing; Confidence maps;
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.
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Last modified: 2020-08-07 19:08:53