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    • 2. 发明授权
    • Real-time body segmentation system
    • 实时身体分割系统
    • US08233676B2
    • 2012-07-31
    • US12044416
    • 2008-03-07
    • King Ngi NganHongliang Li
    • King Ngi NganHongliang Li
    • G06K9/00
    • G06K9/6257G06K9/00234G06K9/00248G06K9/00369G06K9/4614
    • In a human feature recognition system that is intended to provide substantially real-time recognition of body segments, various methods and structures are provided to facilitate real-time recognition with reduced computation requirements, including a face detection module employing an active boosting procedure and a lazy boosting procedure on a hybrid cascade structure, a human body segmentation module and a boundary matting module. The hybrid cascade structure is in the form of a tree where one type of node represents a strong classifier learned from active boosting, another type of classifier is obtained by low-computation-load lazy boosting, and weak classifiers are obtained from the previous layers.
    • 在旨在提供身体部分的基本上实时识别的人类特征识别系统中,提供了各种方法和结构以便于减少计算需求的实时识别,包括使用主动增强过程和懒惰的面部检测模块 混合级联结构的增强程序,人体分割模块和边界消光模块。 混合级联结构是树的形式,其中一种类型的节点表示从主动升压学习的强分类器,另一种类型的分类器通过低计算负载延迟增强获得,并且从以前的层获得弱分类器。
    • 6. 发明申请
    • REAL-TIME BODY SEGMENTATION SYSTEM
    • 实时身体分配系统
    • US20090226044A1
    • 2009-09-10
    • US12044416
    • 2008-03-07
    • King Ngi NganHongliang Li
    • King Ngi NganHongliang Li
    • G06K9/00
    • G06K9/6257G06K9/00234G06K9/00248G06K9/00369G06K9/4614
    • In a human feature recognition system that is intended to provide substantially real-time recognition of body segments, various methods and structures are provided to facilitate real-time recognition with reduced computation requirements, including a face detection module employing an active boosting procedure and a lazy boosting procedure on a hybrid cascade structure, a human body segmentation module and a boundary matting module. The hybrid cascade structure is in the form of a tree where one type of node represents a strong classifier learned from active boosting, another type of classifier is obtained by low-computation-load lazy boosting, and weak classifiers are obtained from the previous layers.
    • 在旨在提供身体部分的基本上实时识别的人类特征识别系统中,提供了各种方法和结构以便于减少计算需求的实时识别,包括使用主动增强过程和懒惰的面部检测模块 混合级联结构的增强程序,人体分割模块和边界消光模块。 混合级联结构是树的形式,其中一种类型的节点表示从主动升压学习的强分类器,另一种类型的分类器通过低计算负载延迟增强获得,并且从以前的层获得弱分类器。