Deep probabilistic human pose estimation

Deep probabilistic human pose estimation

The authors consider the problem of human pose estimation using probabilistic convolutional neural networks. They explore ways to improve human pose estimation accuracy on standard pose estimation benchmarks MPII human pose and Leeds Sports Pose (LSP) datasets using frameworks for probabilistic deep...

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Bibliographic Details
Main Authors: Ilia Petrov, Vlad Shakhuro, Anton Konushin
Format: Article
Language:English
Published: Wiley 2018-08-01
Series:IET Computer Vision
Subjects:
deep probabilistic human pose estimation
probabilistic convolutional neural networks
leeds sports pose datasets
deterministic neural network
CNN
DISCO networks
Online Access:https://doi.org/10.1049/iet-cvi.2017.0382

Internet

https://doi.org/10.1049/iet-cvi.2017.0382

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