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Ebrahim, Nourhan
- Realtime Multi-Person 2D Pose Estimation
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Authors
Affiliations
1 Department of Information systems, Helwan University – Cairo, EG
2 Department of Computer science, Helwan University – Cairo, EG
1 Department of Information systems, Helwan University – Cairo, EG
2 Department of Computer science, Helwan University – Cairo, EG
Source
International Journal of Advanced Networking and Applications, Vol 11, No 6 (2020), Pagination: 4501-4508Abstract
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.Full Text
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