Hierarchical Adversarial Network for Human Pose Estimation

Hierarchical Adversarial Network for Human Pose Estimation

This paper presents a novel adversarial deep neural network to estimate human poses from still images, such as those obtained from CCTV and the Internet-of-Things (IoT) devices. Specifically, the proposed adversarial deep neural network exhibits the spatial hierarchy of human body parts considering...

Full description

Bibliographic Details
Main Authors: Ibrahim Radwan, Nour Moustafa, Byron Keating, Kim-Kwang Raymond Choo, Roland Goecke
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Human pose estimation
hierarchical-aware loss
generative adversarial network
convolutional neural network
Online Access:https://ieeexplore.ieee.org/document/8772037/

Internet

https://ieeexplore.ieee.org/document/8772037/

Similar Items