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    • 81. 发明授权
    • Image information processing system, image information processing method, image information processing program, and automobile
    • 图像信息处理系统,图像信息处理方法,图像信息处理程序和汽车
    • US07599546B2
    • 2009-10-06
    • US11288695
    • 2005-11-29
    • Kazunori KanaiNobuharu Nagaoka
    • Kazunori KanaiNobuharu Nagaoka
    • G06K9/00H04N13/02
    • G06K9/00362G06K9/00805
    • A system and the like capable of stably displaying image information according to an object shot by infrared cameras by offsetting disadvantages of two-dimensional image processing and three-dimensional image processing. According to an image information processing system 100 of the present invention, a weighting factor calculation unit 140 calculates a first weighting factor C1 (0≦C1≦1) and a second weighting factor C2 (=1−C1), on the basis of a measured value of a variable according to a distance between infrared cameras 210 and an object. Moreover, a composite image recognition unit 150 recognizes a composite image area A composed of a first image area A1 recognized by a first image area recognition unit 110 through the infrared camera 210 by performing the two-dimensional image processing and the second image area A2 recognized by a second image area recognition unit 120 through the infrared cameras 210 by performing the three-dimensional image processing, with being weighted by the first weighting factor C1 and the second weighting factor C2, respectively. Then, the image information control unit 160 causes the HUD 110 to display a frame enclosing the composite image area A.
    • 能够通过抵消二维图像处理和三维图像处理的缺点,能够根据红外线摄像机拍摄的物体稳定地显示图像信息的系统等。 根据本发明的图像信息处理系统100,加权系数计算单元140基于第一加权因子C1(0 <= C1 <= 1)和第二加权因子C2(= 1-C1) 根据红外摄像机210与物体之间的距离的变量的测量值。 此外,合成图像识别单元150通过执行二维图像处理和识别的第二图像区域A2,通过红外线摄像机210识别由第一图像区域识别单元110识别的第一图像区域A1构成的合成图像区域A 通过第二图像区域识别单元120通过红外摄像机210执行三维图像处理,分别由第一加权因子C1和第二加权因子C2加权。 然后,图像信息控制单元160使HUD 110显示包围合成图像区域A的帧。
    • 84. 发明申请
    • Object type determination apparatus, vehicle, object type determination method, and program for determining object type
    • 对象类型确定装置,车辆,对象类型确定方法和用于确定对象类型的程序
    • US20090041302A1
    • 2009-02-12
    • US12218517
    • 2008-07-16
    • Nobuharu NagaokaMakoto AimuraTakayuki Tsuji
    • Nobuharu NagaokaMakoto AimuraTakayuki Tsuji
    • G06K9/78
    • G06K9/00369G06K9/00805
    • An object type determination apparatus, an object type determination method, a vehicle, and a program for determining an object type, capable of accurately determining the type of the object by appropriately determining periodicity in movement of the object from images, are provided. The object type determination apparatus includes an object area extracting means (11) for extracting an area of an object from an image picked up by an image pick-up means (2R, 2L), an object end point extracting means (12) for extracting an end point of an image portion of the object from the extracted object area, an object periodicity determination means (13) for calculating time series data of a feature value representing a size of the object using the end point of the image portion of the object extracted by the object end point extracting means (12) from the area of the object extracted by the object area extracting means (11) for respective ones of time series images picked up by the image pick-up means (2R, 2L) to determine whether the feature value changes with prescribed periodicity, and a living body determination means (14) for determining the object having the feature value determined to change with periodicity as a living body.
    • 提供了一种对象类型确定装置,对象类型确定方法,车辆和用于确定对象类型的程序,能够通过从图像适当地确定对象的移动周期来精确地确定对象的类型。 对象类型确定装置包括:对象区域提取装置,用于从由图像拾取装置(2R,2L)拾取的图像中提取对象的区域;对象终点提取装置(12),用于提取 来自提取的对象区域的对象的图像部分的终点;对象周期性确定装置(13),用于使用对象的图像部分的终点来计算表示对象的大小的特征值的时间序列数据 由对象终点提取装置(12)从由对象区域提取装置(11)提取的对象区域针对由图像拾取装置(2R,2L)拾取的各个时间序列图像提取出来,以确定 所述特征值是否以规定的周期性变化,以及生物体确定装置(14),用于确定被确定为周期性变化的特征值的物体作为活体。
    • 85. 发明授权
    • Image recognition apparatus
    • 图像识别装置
    • US07474765B2
    • 2009-01-06
    • US11554292
    • 2006-10-30
    • Nobuharu NagaokaTakayuki TsujiHiroshi HattoriKouzou SimamuraMasahito Watanabe
    • Nobuharu NagaokaTakayuki TsujiHiroshi HattoriKouzou SimamuraMasahito Watanabe
    • G06K9/00
    • G06K9/00651G06K9/00805G06T7/70G06T7/97
    • An image processing unit determines the size of a circumscribed quadrangle of the target object, and predicts the overlap of the two different objects. If overlap is predicted, the target object is divided into two divided regions L_b and R_b containing the left and right edges of the target object respectively, and by performing a correlation calculation between the left image and the right image captured by a stereo camera for each of the divided regions, the parallaxes of the respective divided regions L_b and R_b can be determined. Then, if the absolute value of the difference between the parallaxes of the respective divided regions L_b and R_b is greater than a predetermined value, a determination is made that different objects are overlapping within the target object, and the target object is divided for recognition, and the distance to the respective objects is calculated independently.
    • 图像处理单元确定目标对象的外接四边形的大小,并且预测两个不同对象的重叠。 如果预测重叠,则将目标对象分别分别包含目标对象的左边缘和右边缘的两个分割区域L_b和R_b,并且通过对于每个对象物体执行由立体相机拍摄的左图像和右图像之间的相关计算 可以确定各分割区域L_b,R_b的视差。 然后,如果各个分割区域L_b和R_b的视差之间的差的绝对值大于预定值,则确定不同对象在目标对象内重叠,并且目标对象被划分以进行识别, 并且独立地计算到各个对象的距离。