Two Dimensional Human Pose Estimation for the Upper Body Using Histogram and Template Matching Techniques

2013 ◽  
Author(s):  
Rosalyn R. Porle ◽  
Ali Chekima ◽  
Farrah Wong ◽  
Mazlina Mamat ◽  
Norfarariyanti Parimon ◽  
...  
Keyword(s):  
Pose Estimation ◽  
Template Matching ◽  
Upper Body ◽  
Human Pose Estimation ◽  
Two Dimensional ◽  
Human Pose ◽  
Matching Techniques

Human pose estimation with multiple mixture parts model based on upper body categories

2015 ◽  
Vol 24 (4) ◽  
pp. 043021 ◽  
Author(s):  
Aichun Zhu ◽  
Hichem Snoussi ◽  
Tian Wang ◽  
Abel Cherouat
Keyword(s):  
Pose Estimation ◽  
Upper Body ◽  
Human Pose Estimation ◽  
Model Based ◽  
Human Pose

scholarly journals The Aircraft Pose Estimation Based on a Convolutional Neural Network

2019 ◽  
Vol 2019 ◽  
pp. 1-11
Author(s):  
Daoyong Fu ◽  
Wei Li ◽  
Songchen Han ◽  
Xinyan Zhang ◽  
Zhaohuan Zhan ◽  
...  
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Real Time ◽  
Pose Estimation ◽  
Estimation Method ◽  
Human Pose Estimation ◽  
Two Dimensional ◽  
Surveillance Video ◽  
Key Points ◽  
Human Pose

The pose estimation of the aircraft in the airport plays an important role in preventing collisions and constructing the real-time scene of the airport. However, current airport target surveillance methods regard the aircraft as a point, neglecting the importance of pose estimation. Inspired by human pose estimation, this paper presents an aircraft pose estimation method based on a convolutional neural network through reconstructing the two-dimensional skeleton of an aircraft. Firstly, the key points of an aircraft and the matching relationship are defined to design a 2D skeleton of an aircraft. Secondly, a convolutional neural network is designed to predict all key points and components of the aircraft kept in the confidence maps and the Correlation Fields, respectively. Thirdly, all key points are coarsely matched based on the matching relationship and then refined through the Correlation Fields. Finally, the 2D skeleton of an aircraft is reconstructed. To overcome the lack of benchmark dataset, the airport surveillance video and Autodesk 3ds Max are utilized to build two datasets. Experiment results show that the proposed method get better performance in terms of accuracy and efficiency compared with other related methods.

Real-time upper-body human pose estimation from depth data using Kalman filter for simulator

2014 ◽  
Author(s):  
D. Lee ◽  
S. Chi ◽  
C. Park ◽  
H. Yoon ◽  
J. Kim ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Real Time ◽  
Pose Estimation ◽  
Upper Body ◽  
Human Pose Estimation ◽  
Depth Data ◽  
Human Pose

Part Detector Based Human Pose Estimation in Images and Videos

2011 ◽  
Vol 33 (6) ◽  
pp. 1413-1419
Author(s):  
Yan-chao Su ◽  
Hai-zhou Ai ◽  
Shi-hong Lao
Keyword(s):  
Pose Estimation ◽  
Human Pose Estimation ◽  
Human Pose

scholarly journals Deep 3D human pose estimation: A review

2021 ◽  
pp. 103225
Author(s):  
Jinbao Wang ◽  
Shujie Tan ◽  
Xiantong Zhen ◽  
Shuo Xu ◽  
Feng Zheng ◽  
...  
Keyword(s):  
Pose Estimation ◽  
Human Pose Estimation ◽  
Human Pose ◽  
3D Human Pose Estimation
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