scholarly journals Keyframe Extraction from Human Motion Capture Data Based on a Multiple Population Genetic Algorithm

Symmetry ◽  
2014 ◽  
Vol 6 (4) ◽  
pp. 926-937 ◽  
Author(s):  
Qiang Zhang ◽  
Shulu Zhang ◽  
Dongsheng Zhou
Keyword(s):  
Genetic Algorithm ◽  
Motion Capture ◽  
Population Genetic ◽  
Human Motion ◽  
Motion Capture Data ◽  
Human Motion Capture ◽  
Keyframe Extraction ◽  
Multiple Population ◽  
Population Genetic Algorithm

Keyframe Extraction for Human Motion Capture Data Based on Joint Kernel Sparse Representation

2017 ◽  
Vol 64 (2) ◽  
pp. 1589-1599 ◽  
Author(s):  
Guiyu Xia ◽  
Huaijiang Sun ◽  
Xiaoqing Niu ◽  
Guoqing Zhang ◽  
Lei Feng
Keyword(s):  
Sparse Representation ◽  
Motion Capture ◽  
Human Motion ◽  
Motion Capture Data ◽  
Human Motion Capture ◽  
Keyframe Extraction

scholarly journals KeyFrame extraction for human motion capture data via multiple binomial fitting

2020 ◽  
Author(s):  
Chenxu Xu ◽  
Wenjie Yu ◽  
Yanran Li ◽  
Xuequan Lu ◽  
Meili Wang ◽  
...  
Keyword(s):  
Motion Capture ◽  
Human Motion ◽  
Motion Capture Data ◽  
Human Motion Capture ◽  
Keyframe Extraction

Designing a camera placement assistance system for human motion capture based on a guided genetic algorithm

2017 ◽  
Vol 22 (1) ◽  
pp. 13-23 ◽  
Author(s):  
Azeddine Aissaoui ◽  
Abdelkrim Ouafi ◽  
Philippe Pudlo ◽  
Christophe Gillet ◽  
Zine-Eddine Baarir ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Motion Capture ◽  
Human Motion ◽  
Assistance System ◽  
Camera Placement ◽  
Human Motion Capture

scholarly journals Study on MPGA-BP of Gravity Dam Deformation Prediction

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Xiaoyu Wang ◽  
Kan Yang ◽  
Changsong Shen
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Bp Neural Network ◽  
Population Genetic ◽  
Prediction Accuracy ◽  
Gravity Dam ◽  
Hydraulic Structures ◽  
Deformation Prediction ◽  
Multiple Population ◽  
Population Genetic Algorithm

Displacement is an important physical quantity of hydraulic structures deformation monitoring, and its prediction accuracy is the premise of ensuring the safe operation. Most existing metaheuristic methods have three problems: (1) falling into local minimum easily, (2) slowing convergence, and (3) the initial value’s sensitivity. Resolving these three problems and improving the prediction accuracy necessitate the application of genetic algorithm-based backpropagation (GA-BP) neural network and multiple population genetic algorithm (MPGA). A hybrid multiple population genetic algorithm backpropagation (MPGA-BP) neural network algorithm is put forward to optimize deformation prediction from periodic monitoring surveys of hydraulic structures. This hybrid model is employed for analyzing the displacement of a gravity dam in China. The results show the proposed model is superior to an ordinary BP neural network and statistical regression model in the aspect of global search, convergence speed, and prediction accuracy.

scholarly journals Video-Based Human Motion Capture Data Retrieval via MotionSet Network

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 186212-186221
Author(s):  
Tingxin Ren ◽  
Wei Li ◽  
Zifei Jiang ◽  
Xueqing Li ◽  
Yan Huang ◽  
...  
Keyword(s):  
Motion Capture ◽  
Data Retrieval ◽  
Human Motion ◽  
Motion Capture Data ◽  
Human Motion Capture
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