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