Real-time Curve-skeleton Extraction of Human-scanned Point Clouds - Application in Upright Human Pose Estimation

2015 ◽  
Author(s):  
Frederic Garcia ◽  
Bjorn Ottersten
Keyword(s):  
Real Time ◽  
Pose Estimation ◽  
Point Clouds ◽  
Human Pose Estimation ◽  
Skeleton Extraction ◽  
Time Curve ◽  
Human Pose ◽  
Curve Skeleton

Real-time three-dimensional skeletonisation using general-purpose computing on graphics processing units applied to computer vision-based human pose estimation

2015 ◽  
Vol 31 (4) ◽  
pp. 259-273 ◽  
Author(s):  
Rune Havnung Bakken ◽  
Lars Moland Eliassen
Keyword(s):  
Real Time ◽  
Pose Estimation ◽  
Graphics Processing Units ◽  
Synthetic Data ◽  
Skeletal Structure ◽  
Human Pose Estimation ◽  
Starting Point ◽  
Human Pose ◽  
Curve Skeleton ◽  
Gpu Implementation

Human pose estimation is the process of approximating the configuration of the body’s underlying skeletal articulation in one or more frames. The curve-skeleton of an object is a line-like representation that preserves topology and geometrical information. Finding the curve-skeleton of a volume corresponding to the person is a good starting point for approximating the underlying skeletal structure. In this paper, a GPU implementation of a fully parallel thinning algorithm based on the critical kernel framework is presented. The algorithm is compared to three other state-of-the-art skeletonisation methods—two CPU and one GPU implementation—using both real and synthetic data. It is demonstrated that all four achieve close to real-time frame rates, however, the proposed algorithm yields superior accuracy and robustness when used in a pose estimation context. The GPU implementation is > 8× faster than a CPU implementation of the same algorithm, and the positions of the 4 extremities are estimated with rms error ∼6 cm and ∼98% of frames correctly labelled for some sequences.

scholarly journals Real-Time Human Pose Estimation and Gesture Recognition from Depth Images Using Superpixels and SVM Classifier

Sensors ◽  
2015 ◽  
Vol 15 (6) ◽  
pp. 12410-12427 ◽  
Author(s):  
Hanguen Kim ◽  
Sangwon Lee ◽  
Dongsung Lee ◽  
Soonmin Choi ◽  
Jinsun Ju ◽  
...  
Keyword(s):  
Real Time ◽  
Gesture Recognition ◽  
Pose Estimation ◽  
Human Pose Estimation ◽  
Svm Classifier ◽  
Depth Images ◽  
Human Pose

scholarly journals Human Pose Estimation-Based Real-Time Gait Analysis Using Convolutional Neural Network

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 191542-191550
Author(s):  
Ali Rohan ◽  
Mohammed Rabah ◽  
Tarek Hosny ◽  
Sung-Ho Kim
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Gait Analysis ◽  
Real Time ◽  
Pose Estimation ◽  
Human Pose Estimation ◽  
Human Pose
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