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Method and apparatus for moving object detection based on cerebellar model articulation controller network

机译:基于小脑模型关节控制网络的运动目标检测方法及装置

摘要

A method for moving object detection based on a Cerebellar Model Articulation Controller (CMAC) network includes the following steps. A time series of incoming frames of a fixed location delivered over a network is received. A CMAC network is constructed from the time series of incoming frames, where the CMAC network includes an input space, an association memory space, a weight memory space, and an output space. A current frame is received and divided into a plurality of current blocks. Each of the current blocks is classified as either a background block or a moving object block according to the CMAC network. Whether a target pixel of the moving object blocks is a moving object pixel or a background pixel is determined according to an output of the CMAC network in the output space.
机译:基于小脑模型关节运动控制器(CMAC)网络的运动物体检测方法包括以下步骤。接收通过网络传送的固定位置的传入帧的时间序列。根据输入帧的时间序列构建CMAC网络,其中CMAC网络包括输入空间,关联存储空间,权重存储空间和输出空间。接收当前帧并将其划分为多个当前块。根据CMAC网络,每个当前块被分类为背景块或运动对象块。根据CMAC网络在输出空间中的输出来确定运动对象块的目标像素是运动对象像素还是背景像素。

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