An adaptive Bayesian tracking algorithm for Internet of motion parameters based on explicit formulation and integral contour model

Aiming at multi-degree of freedom of traditional sport movement contour tracing, to improve precision and efficiency of the tracking algorithm, a kind of sport movement parameter adaptive Bayes tracking algorithm based on the explicit formulation integration outline model is put forward. First, this...

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Bibliographic Details
Published in:International journal of computers & applications 2021-04, Vol.43 (4), p.320-325
Main Authors: Duo, Zhang, Rui-Fang, Guo
Format: Article
Language:English
Subjects:
Adaptive algorithms
Algorithms
Contours
Decomposition
Mathematical models
Matrix
Model forms
Movement
Parameters
probability decomposition
sport movement
Tracking
trust recommendation
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Summary:Aiming at multi-degree of freedom of traditional sport movement contour tracing, to improve precision and efficiency of the tracking algorithm, a kind of sport movement parameter adaptive Bayes tracking algorithm based on the explicit formulation integration outline model is put forward. First, this paper has established a simple sport movement parameter explicit formulation manifold space model, and the compact and low-dimensional model form has simplified sport movement parameter outline tracking difficulty; second, this paper has established the matrix probability decomposition model and further established a coordinative recommendation trust model of matrix probability decomposition by integrating the coordinative recommendation process by utilizing the trust scoring matrix and implements model solution based on the maximal expect method; finally, by simulation experiment, validity of the algorithm proposed has been verified.
ISSN:1206-212X
1925-7074
DOI:10.1080/1206212X.2018.1539435