可授權專利


在真實世界中的受限頻寬網路之自動交通監控系統的運動目標檢測算法
 Method and apparatus for moving object detection using principal component analysis based radial basis function network


專利名稱 / Patent Title 在真實世界中的受限頻寬網路之自動交通監控系統的運動目標檢測算法
Method and apparatus for moving object detection using principal component analysis based radial basis function network
專利國家 / Country
   專利證書號 / Registration Number
美國 / US US9,349,193B2
專利權人 / Applicant 國立臺北科技大學 / National Taipei University of Technology
發明人 / Inventor 黃士嘉/ Shih-Chia HUANG, 陳柏豪/ Bo-Hao Chen

專利詳細說明
Patent Details

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技術摘要 / Abstract


一種基於費雪線性判別的徑向基函數網路的移動物體偵測方法,包括下列步驟:自網路接收一固定地點的一序列輸入畫面;根據上述序列輸入畫面,利用費雪線性判別模型,產生多個判別模式;根據上述序列輸入畫面,利用徑向基函數網路模型,建立背景模型;自網路接收目前輸入畫面,並且分割目前輸入畫面為多個目前輸入區塊;根據所述判別模式,區分各所述目前輸入區塊為背景區塊或是移動物體區塊;以及根據背景模型,判斷所述目前輸入區塊中的移動物體區塊的目前輸入畫素為移動物體畫素或是背景畫素。
A method for moving object detection based on a Principal Component Analysis-based Radial Basis Function network (PCA-based RBF network) includes the following steps. A sequence of incoming frames of a fixed location delivered over a network are received. A plurality of Eigen-patterns are generated from the sequence of incoming frames based on a Principal Component Analysis (PCA) model. A background model is constructed from the sequence of incoming frames based on a Radial Basis Function (RBF) network model. A current incoming frame is received and divided into a plurality of current incoming blocks. Each of the current incoming blocks is classified as either a background block or a moving object block according to the Eigen-patterns. Whether a current incoming pixel of the moving object blocks among the current incoming blocks is a moving object pixel or a background pixel is determined according to the background model.


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