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Mechanical Properties in Kinematics Based on Pulse Coupled Neural Network

机译:基于脉冲耦合神经网络的运动学力学性能

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In order to improve the efficiency of aerobics movement image analysis, on the basis of biological vision and image processing technology, this paper designs the image motion analysis system with the core of DSP+FPGA circuit and the high-speed external memory allocation. This system is based on the image segmentation and clustering algorithm as the theoretical model to ensure the system having enough computing power on the hardware, at the same time providing sufficient bandwidth for the large amount of image transmission. The test shows that the image processing system has reached the real-time and stability of aerobics movement analysis requirement, further realizing low power consumption and improving the efficiency of image processing algorithm.
机译:为了提高健美操运动图像分析的效率,基于生物视觉和图像处理技术,本文设计了具有DSP + FPGA电路的核心的图像运动分析系统和高速外部存储器分配。 该系统基于图像分割和聚类算法作为理论模型,以确保硬件上具有足够的计算电量的系统,同时为大量图像传输提供足够的带宽。 该测试表明,图像处理系统已经达到了健美操运动分析要求的实时和稳定性,进一步实现了低功耗和提高了图像处理算法的效率。

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