Feature Bridging Networks for 3D Human Body Shape Estimation from a Single Depth Map

2020 ◽  
Author(s):  
Naoshi Kaneko ◽  
Mei Oyama ◽  
Masaki Hayashi ◽  
Seiya Ito ◽  
Kazuhiko Sumi
Keyword(s):  
Human Body ◽  
Body Shape ◽  
Depth Map ◽  
Shape Estimation

Video-Based Human Motion Analysis

2011 ◽  
Vol 403-408 ◽  
pp. 2593-2597
Author(s):  
Hong Bao ◽  
Zhi Min Liu
Keyword(s):  
Motion Analysis ◽  
Human Body ◽  
Body Shape ◽  
Human Motion ◽  
Random Motion ◽  
Human Motion Analysis ◽  
Mass Center ◽  
Shape Features ◽  
Skeleton Model ◽  
Regular Motion

In the analysis of human motion, movement was divided into regular motion (such as walking and running) and random motion (such as falling down).Human skeleton model is used in this paper to do the video-based analysis. Key joints on human body were chosen to be traced instead of tracking the entire human body. Shape features like mass center trajectory were used to describe the movement, and to classify human motion. desired results achieved.

Parametric Shape Estimation of Human Body under Wide Clothing

2020 ◽  
pp. 1-1
Author(s):  
Yucheng Lu ◽  
Jin-Hyuck Cha ◽  
Se-Kyoung Youm ◽  
Seung-Won Jung
Keyword(s):  
Human Body ◽  
Shape Estimation
Sign in / Sign up

Export Citation Format

Share Document