This study presents a danger estimation system to prevent accidents among infants. A video camera positioned above the infant＇s crib captures video. The proposed system can monitor the behavior of infants aged zero t...This study presents a danger estimation system to prevent accidents among infants. A video camera positioned above the infant＇s crib captures video. The proposed system can monitor the behavior of infants aged zero to six months. If there is a change in behavior or any other unusual occurrence, the system alerts the person responsible to attend to the baby immediately. The proposed system operates in three phases, which are foreground color model （FC model） construction, infant detection, and degree of danger analysis. During FC model construction, the foreground color histogram is created iteratively; the background image does not have to be constructed first. A motion-history image （MHI） is also obtained based on the motion of the infant. The color and motion information supplied by the FC model and the MHI are combined to detect the infant, who is regarded as the foreground object in the input frame. Moreover, six features of infant behavior are extracted from the detected infant to measure the degree of danger faced by the infant, and the result is used to warn the baby-sitter if needed. Experimental results show that the proposed method is robust and efficient.展开更多
针对准确与实时检测晶圆表面缺陷的需求,提出了一种基于主成分分析(Principal Component Analysis,PCA)和贝叶斯概率模型(Bayesian Probability Model,BPM)的在线检测算法;首先,改进双边滤波方法以消除晶圆表面图像中的噪声和突出晶圆...针对准确与实时检测晶圆表面缺陷的需求,提出了一种基于主成分分析(Principal Component Analysis,PCA)和贝叶斯概率模型(Bayesian Probability Model,BPM)的在线检测算法;首先,改进双边滤波方法以消除晶圆表面图像中的噪声和突出晶圆缺陷的模式特征;然后,提取晶圆表面缺陷的Hu不变矩、方向梯度直方图(Histogram of Oriented Gradients,HOG)和尺度不变特征变换特征(Scale Invariant Feature Transform,SIFT);接着,采用PCA方法对特征进行降维;最后,在离线建模阶段构建正常晶圆表面模式和各种缺陷模式的BPMs;在在线检测阶段采用胜者全取(Winner-take-all,WTA)法判断缺陷的模式和构建新缺陷模式的BPMs;提出算法在WM-811K晶圆数据库中得到了87.2%的检测准确率;单副图像的平均检测时间为40.5ms;实验结果表明,提出算法具有较高的检测准确性与实时性,可以实际应用到集成电路制造产线的晶圆表面缺陷在线检测中。展开更多
基金supported by the National Science Council,Taiwan under Contract No.NSC98-2221-E-003-014-MY2 and NSC99-2631-S-003-002
文摘This study presents a danger estimation system to prevent accidents among infants. A video camera positioned above the infant＇s crib captures video. The proposed system can monitor the behavior of infants aged zero to six months. If there is a change in behavior or any other unusual occurrence, the system alerts the person responsible to attend to the baby immediately. The proposed system operates in three phases, which are foreground color model （FC model） construction, infant detection, and degree of danger analysis. During FC model construction, the foreground color histogram is created iteratively; the background image does not have to be constructed first. A motion-history image （MHI） is also obtained based on the motion of the infant. The color and motion information supplied by the FC model and the MHI are combined to detect the infant, who is regarded as the foreground object in the input frame. Moreover, six features of infant behavior are extracted from the detected infant to measure the degree of danger faced by the infant, and the result is used to warn the baby-sitter if needed. Experimental results show that the proposed method is robust and efficient.
