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    • 2. 发明授权
    • Object-end positioning method and system
    • 目标端定位方法及系统
    • US08396300B2
    • 2013-03-12
    • US12463508
    • 2009-05-11
    • Ko-Shyang WangPo-Lung ChenJia-Chang LiChien-Chun Kuo
    • Ko-Shyang WangPo-Lung ChenJia-Chang LiChien-Chun Kuo
    • G06K9/62G06K9/48
    • G06K9/00362G06K9/48
    • An object-end positioning method is provided for positioning lower ends of two limbs of an object. In the method, a foreground processing is performed on an original image to obtain a foreground image. A number of turning points are obtained according to the foreground image, wherein connection of the turning points forms a polygonal curve. Each turning point is classified to be a convex or concave point according to an included angle between lines connecting the turning point to two adjacent turning points. A number of selected convex points and selected concave points are selected. Two of the selected convex points are selected as two temporary ends. Connection of the two temporary ends and a selected concave point located between the two temporary ends forms a triangle. Two positioning ends for positioning the lower ends of the two limbs of the object are determined according to the two temporary ends.
    • 提供了一种用于定位物体的两个肢体的下端的物体端定位方法。 在该方法中,对原始图像执行前景处理以获得前景图像。 根据前景图像获得多个转折点,其中转折点的连接形成多边形曲线。 根据将转向点与两个相邻转折点连接的线之间的夹角,将各转折点分类为凸点或凹点。 选择多个选定的凸点和选定的凹点。 两个选定的凸点被选择为两个临时端。 位于两个临时端之间的两个临时端和选定的凹点的连接形成三角形。 根据两个临时端确定用于定位物体的两个肢体的下端的两个定位端。
    • 3. 发明申请
    • OBJECT-END POSITIONING METHOD AND SYSTEM
    • 目标定位方法和系统
    • US20100142831A1
    • 2010-06-10
    • US12463508
    • 2009-05-11
    • Ko-Shyang WangPo-Lung ChenJia-Chang LiChien-Chun Kuo
    • Ko-Shyang WangPo-Lung ChenJia-Chang LiChien-Chun Kuo
    • G06K9/62
    • G06K9/00362G06K9/48
    • An object-end positioning method is provided for positioning lower ends of two limbs of an object. In the method, a foreground processing is performed on an original image to obtain a foreground image. A number of turning points are obtained according to the foreground image, wherein connection of the turning points forms a polygonal curve. Each turning point is classified to be a convex or concave point according to an included angle between lines connecting the turning point to two adjacent turning points. A number of selected convex points and selected concave points are selected. Two of the selected convex points are selected as two temporary ends. Connection of the two temporary ends and a selected concave point located between the two temporary ends forms a triangle. Two positioning ends for positioning the lower ends of the two limbs of the object are determined according to the two temporary ends.
    • 提供了一种用于定位物体的两个肢体的下端的物体端定位方法。 在该方法中,对原始图像执行前景处理以获得前景图像。 根据前景图像获得多个转折点,其中转折点的连接形成多边形曲线。 根据将转向点与两个相邻转折点连接的线之间的夹角,将各转折点分类为凸点或凹点。 选择多个选定的凸点和选定的凹点。 两个选定的凸点被选择为两个临时端。 位于两个临时端之间的两个临时端和选定的凹点的连接形成三角形。 根据两个临时端确定用于定位物体的两个肢体的下端的两个定位端。
    • 4. 发明授权
    • Method and system for tracking positions of human extremities
    • 跟踪人体肢体位置的方法和系统
    • US08204274B2
    • 2012-06-19
    • US12371487
    • 2009-02-13
    • Po-Lung ChenChien-Chun KuoKo-Shyang Wang
    • Po-Lung ChenChien-Chun KuoKo-Shyang Wang
    • G06K9/00
    • G06K9/00335
    • A method for tracking positions of human extremities is disclosed. A left image of a first extremity portion is retrieved using a first picturing device and an outline candidate position of the first extremity portion is obtained according to feature information of the left image. A right image of the first extremity portion is retrieved using a second picturing device and a depth candidate position of the first extremity portion is obtained according to depth information of the right image. Geometry relations between the outline candidate position and the depth candidate position and a second extremity portion of a second extremity position are calculated to determine whether a current extremity position of the first extremity portion is required to be updated.
    • 公开了一种跟踪人体肢体位置的方法。 使用第一图像装置检索第一末端部分的左图像,并且根据左图像的特征信息获得第一末端部分的轮廓候选位置。 使用第二图像装置检索第一末端部分的右图像,并且根据右图像的深度信息获得第一末端部分的深度候选位置。 计算轮廓候选位置与深度候选位置和第二末端位置的第二末端部分之间的几何关系,以确定是否需要更新第一末端部分的当前末端位置。
    • 5. 发明申请
    • METHOD AND SYSTEM FOR TRACKING POSITIONS OF HUMAN EXTREMITIES
    • 跟踪人员职位的方法和系统
    • US20100014710A1
    • 2010-01-21
    • US12371487
    • 2009-02-13
    • Po-Lung ChenChien-Chun KuoKo-Shyang Wang
    • Po-Lung ChenChien-Chun KuoKo-Shyang Wang
    • G06K9/00
    • G06K9/00335
    • A method for tracking positions of human extremities is disclosed. A left image of a first extremity portion is retrieved using a first picturing device and an outline candidate position of the first extremity portion is obtained according to feature information of the left image. A right image of the first extremity portion is retrieved using a second picturing device and a depth candidate position of the first extremity portion is obtained according to depth information of the right image. Geometry relations between the outline candidate position and the depth candidate position and a second extremity portion of a second extremity position are calculated to determine whether a current extremity position of the first extremity portion is required to be updated.
    • 公开了一种跟踪人体肢体位置的方法。 使用第一图像装置检索第一末端部分的左图像,并且根据左图像的特征信息获得第一末端部分的轮廓候选位置。 使用第二图像装置检索第一末端部分的右图像,并且根据右图像的深度信息获得第一末端部分的深度候选位置。 计算轮廓候选位置与深度候选位置和第二末端位置的第二末端部分之间的几何关系,以确定是否需要更新第一末端部分的当前末端位置。
    • 9. 发明申请
    • METHOD FOR POSITIONING A NON-STRUCTURAL OBJECT IN A SERIES OF CONTINUING IMAGES
    • 在一系列连续图像中定位非结构对象的方法
    • US20090110237A1
    • 2009-04-30
    • US11966707
    • 2007-12-28
    • Ko-Shyang WangPo-Lung ChenChih-Chang Chen
    • Ko-Shyang WangPo-Lung ChenChih-Chang Chen
    • G06K9/00
    • G06K9/00355G06F3/017
    • A method for positioning a non-structural object in a series of continuing images is disclosed, which comprises the steps of: establishing a pattern representing a target object while analyzing the pattern for obtaining positions relative to a representative feature of the pattern; picking up a series of continuing images including the target object for utilizing the brightness variations at the boundary defining the representative feature which are detected in the series of continuing images to calculate and thus obtain a predictive candidate position of the representative feature in an image picked up next to the series of continuing images; calculating the differences between the boundaries defining the representative feature at the predictive candidate position in the series of continuing images and also calculating the similarities between the pattern and those boundaries; and using the differences and the similarities to calculate and thus obtain the position of the representative feature in the image picked up next to the series of continuing images.
    • 公开了一种用于将非结构对象定位在一系列连续图像中的方法,其包括以下步骤:在分析图案以获得相对于图案的代表特征的位置的同时,建立表示目标对象的图案; 拾取一系列持续图像,包括目标对象,用于利用在连续图像序列中检测到的代表性特征的边界处的亮度变化,以计算出所获取的图像中的代表特征的预测候选位置 在连续图像系列旁边; 计算定义连续图像序列中预测候选位置的代表特征的边界之间的差异,并计算图案与边界之间的相似度; 并且使用差异和相似度来计算并因此获得在一系列连续图像拾取的图像中的代表性特征的位置。