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

机译:基于显式配方和整体轮廓模型的运动参数互联网自适应贝叶斯跟踪算法

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摘要

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 coordi-native 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.
机译:针对传统运动运动轮廓追踪的多度自由,提高跟踪算法的精度和效率,一种基于显式配方集成轮廓模型的运动运动参数自适应贝叶斯跟踪算法。 首先,本文建立了一个简单的运动运动参数明确的配方歧管空间模型,并且紧凑且低维模型形式具有简化的运动运动参数大纲跟踪难度; 其次,本文建立了矩阵概率分解模型,并通过利用基于最大预期方法实现了Coordi-Native推荐过程来进一步建立了矩阵概率分解的协调推荐信任模型,并基于最大预期方法实现模型解决方案; 最后,通过仿真实验,已经验证了提出的算法的有效性。

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