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本文采用径向基函数神经网络进行人体运动跟踪与人体姿态预测,利用采集的运动数据对本文提出的运动跟踪与姿态预测方法进行性能评估,给出部分测试和比较实验结果,实验结果表明,基于径向基函数神经网络的人体运动跟踪与人体姿态预测方法是可行的。
In this paper, radial basis function neural network is used to track human body motion and pose of human body. The acquired motion data are used to evaluate the motion tracking and pose prediction methods. Some test and comparison results are given. The experimental results show that, Radial basis function neural network human motion tracking and body posture prediction method is feasible.