Patent ID: 9123133
Filing Date: 2015-09-01
Classification: G06K,G06T

Abstract:
1. A moving object detection method based on a Cerebellar Model Articulation Controller (CMAC) network comprising: receiving a time series of incoming frames of a fixed location delivered over a network, wherein each pixel of the time series of incoming frames with a same pixel coordinate forms a time series of incoming pixels; constructing a CMAC network from the time series of incoming frames, wherein the CMAC network comprises an input space, an association memory space, a weight memory space, and an output space, wherein the association memory space comprises a plurality of physical memory addresses, and each of the time series of incoming pixels maps to one of the physical memory addresses, wherein the weight memory space comprises a plurality lists of weight memory elements, each of the lists of weight memory elements is associated through one of the physical memory addresses, and each weight memory element in each of the lists of weight memory elements is associated with an pixel intensity value; receiving a current frame delivered over the network and partitioning the current frame into a plurality of current blocks; classifying each of the current blocks as either a background block or a moving object block according to the CMAC network; and determining whether a target pixel of the moving object blocks is a moving object pixel or a background pixel according to an output of the CMAC network in the output space.