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VLSI neuroprocessors for video motion detection

机译:用于视频运动检测的VLSI神经处理器

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The system design of a locally connected competitive neural network for video motion detection is presented. The motion information from a sequence of image data can be determined through a two-dimensional multiprocessor array in which each processing element consists of an analog neuroprocessor. Massively parallel neurocomputing is done by compact and efficient neuroprocessors. Local data transfer between the neuroprocessors is performed by using an analog point-to-point interconnection scheme. To maintain strong signal strength over the whole system, global data communication between the host computer and neuroprocessors is carried out in a digital common bus. A mixed-signal very large scale integration (VLSI) neural chip that includes multiple neuroprocessors for fast video motion detection has been developed. Measured results of the programmable synapse, and winner-takes-all circuitry are presented. Based on the measurement data, system-level analysis on a sequence of real-world images was conducted.
机译:提出了一种用于视频运动检测的本地竞争神经网络的系统设计。来自图像数据序列的运动信息可以通过二维多处理器阵列确定,其中每个处理元件都由一个模拟神经处理器组成。大型并行神经计算由紧凑而高效的神经处理器完成。神经处理器之间的本地数据传输是通过使用模拟的点对点互连方案来执行的。为了在整个系统上保持强大的信号强度,主机和神经处理器之间的全局数据通信在数字公共总线中进行。已经开发了一种混合信号超大规模集成(VLSI)神经芯片,其中包括用于快速视频运动检测的多个神经处理器。给出了可编程突触和获胜者通吃所有电路的测量结果。根据测量数据,对一系列实际图像进行系统级分析。

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