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    • 1. 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。
    • 2. 发明授权
    • Image recognition apparatus
    • 图像识别装置
    • US07158664B2
    • 2007-01-02
    • US10286541
    • 2002-11-01
    • Nobuharu NagaokaTakayuki TsujiHiroshi HattoriKouzou SimamuraMasahito Watanabe
    • Nobuharu NagaokaTakayuki TsujiHiroshi HattoriKouzou SimamuraMasahito Watanabe
    • G06K9/00G06K9/40
    • 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。
    • 3. 发明授权
    • Vehicle zone monitoring apparatus
    • 车辆区域监控装置
    • US08144195B2
    • 2012-03-27
    • US12287433
    • 2008-10-09
    • Nobuharu NagaokaTakayuki TsujiMasahito WatanabeHiroshi HattoriKouzou Simamura
    • Nobuharu NagaokaTakayuki TsujiMasahito WatanabeHiroshi HattoriKouzou Simamura
    • H04N7/18
    • H04N7/18G06K9/00805
    • A vehicle zone monitoring apparatus that detects physical bodies present in the vicinity of the vehicle from infrared images photographed by infrared cameras provided on the vehicle includes an object extracting device that extracts object images that emit infrared radiation from the infrared image and an artificial structure identifying device that identifies whether or not an object is an artificial structure by comparing an image of a search zone in proximity to the object extracted by the object extraction device, to a reference image of a pre-registered artificial structure which serves as an element that defines an artificial structure, and that identifies the object as an artificial structure if: within the search zone in proximity to the object, a section having a high correlation with the reference image exists; and a distance between the vehicle and the object is equal to a distance between the vehicle and the section having the high correlation with said reference image.
    • 从设置在车辆上的红外线摄像机拍摄的红外线图像检测出车辆附近的物体的车辆区域监视装置,具备提取从红外线图像发出红外线的物体图像的物体提取装置以及人造结构识别装置 通过将与由对象提取装置提取的对象接近的搜索区域的图像与用于定义对象提取装置的元素的预先注册的人造结构的参考图像进行比较来识别对象是否为人造结构 人造结构,并且将物体识别为人造结构,如果:在与物体邻近的搜索区域内存在与参考图像高度相关的部分; 并且车辆和物体之间的距离等于车辆与与所述参考图像具有高相关性的部分之间的距离。
    • 4. 发明申请
    • Vehicle zone monitoring apparatus
    • 车辆区域监控装置
    • US20090046151A1
    • 2009-02-19
    • US12287433
    • 2008-10-09
    • Nobuharu NagaokaTakayuki TsujiMasahito WatanabeHiroshi HattoriKouzou Simamura
    • Nobuharu NagaokaTakayuki TsujiMasahito WatanabeHiroshi HattoriKouzou Simamura
    • H04N7/18H04N5/33
    • H04N7/18G06K9/00805
    • A vehicle zone monitoring apparatus that detects physical bodies present in the vicinity of the vehicle from infrared images photographed by infrared cameras provided on the vehicle includes an object extracting device that extracts object images that emit infrared radiation from the infrared image and an artificial structure identifying device that identifies whether or not an object is an artificial structure by comparing an image of a search zone in proximity to the object extracted by the object extraction device, to a reference image of a pre-registered artificial structure which serves as an element that defines an artificial structure, and that identifies the object as an artificial structure if: within the search zone in proximity to the object, a section having a high correlation with the reference image exists; and a distance between the vehicle and the object is equal to a distance between the vehicle and the section having the high correlation with said reference image.
    • 从设置在车辆上的红外线摄像机拍摄的红外线图像检测出车辆附近的物体的车辆区域监视装置,具备提取从红外线图像发出红外线的物体图像的物体提取装置以及人造结构识别装置 通过将与由对象提取装置提取的对象接近的搜索区域的图像与用于定义对象提取装置的元素的预先注册的人造结构的参考图像进行比较来识别对象是否为人造结构 人造结构,并且将物体识别为人造结构,如果:在与物体邻近的搜索区域内存在与参考图像高度相关的部分; 并且车辆和物体之间的距离等于车辆与与所述参考图像具有高相关性的部分之间的距离。
    • 5. 发明申请
    • IMAGE RECOGNITION APPARATUS
    • 图像识别装置
    • US20070053584A1
    • 2007-03-08
    • 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。
    • 7. 发明授权
    • Vehicle information providing apparatus
    • 车辆信息提供装置
    • US07141796B2
    • 2006-11-28
    • US10273314
    • 2002-10-17
    • Hiroshi HattoriNobuharu NagaokaMasahito WatanabeTakayuki Tsuji
    • Hiroshi HattoriNobuharu NagaokaMasahito WatanabeTakayuki Tsuji
    • G06F17/00
    • G06K9/00805G06K9/00651G06T7/254
    • A vehicle information providing apparatus determines and displays the range of presence of a person or other object based on the characteristics of images recorded by infrared cameras. An image processing unit carries out brightness change search processing in the infrared camera image zone represented by a gray scale using a search area wherein the size of a first detected area detected by binarization and correlation operation serves as the reference. In addition, the parallax between the first detected area and the searched area having a change in brightness is compared, a search area having a parallax that differs from that of the first searched area is eliminated, and a search area having a parallax identical to that of the first searched area is provided a highlighted display as an object identical to that of the first detected area.
    • 车辆信息提供装置基于由红外线摄像机记录的图像的特性来确定和显示人物或其他物体的存在范围。 图像处理单元使用搜索区域进行由灰度表示的红外线摄像机图像区域中的亮度变化搜索处理,其中通过二值化和相关操作检测到的第一检测区域的大小用作参考。 此外,比较第一检测区域和具有亮度变化的搜索区域之间的视差,消除了具有与第一搜索区域不同的视差的搜索区域,并且具有与之相同的视差的搜索区域 提供第一搜索区域作为与第一检测区域相同的对象的突出显示。
    • 10. 发明授权
    • Image recognition system
    • 图像识别系统
    • US06658150B2
    • 2003-12-02
    • US09728511
    • 2000-12-01
    • Takayuki TsujiNobuharu NagaokaHiroshi HattoriMasahito Watanabe
    • Takayuki TsujiNobuharu NagaokaHiroshi HattoriMasahito Watanabe
    • G06K968
    • G06K9/6203G06T7/97G06T2207/10012H04N13/239H04N2013/0081
    • An image recognition system recognizes correspondence between object images contained respectively in two images obtained by two infrared ray cameras. One of the two images is set to a reference image and another of the two images to a comparison image. A correlation parameter indicative of a correlation between a reference pattern contained in the reference image and containing an object image and each pattern contained in the comparison image and identical in shape to the reference pattern is calculated by using a luminance value indicative of a luminance of the reference pattern and a luminance value indicative of a luminance of the each pattern contained in the comparison image. Based on the calculated correlation parameter, a pattern having a highest correlation with the reference pattern is extracted from the comparison image as a corresponding pattern which corresponds to the reference pattern. Identity between the object image contained in the reference pattern and the object image contained in the corresponding pattern is determined based on a difference between a contrast value indicative of a contrast of the reference pattern and a contrast value indicative of a contrast of the corresponding pattern.
    • 图像识别系统识别由两个红外线摄像机获得的两个图像中分别包含的对象图像之间的对应关系。 将两个图像中的一个设置为参考图像,将两个图像中的另一个设置为比较图像。 通过使用表示参考图像的亮度的亮度值来计算指示包含在参考图像中并包含对象图像的参考图案和包含在比较图像中并且与形状相同的参考图案之间的相关性的相关参数 参考图案和指示比较图像中包含的每个图案的亮度的亮度值。 基于所计算的相关参数,从比较图像中提取与参考图案具有最高相关性的图案作为对应于参考图案的对应图案。 基于指示参考图案的对比度的对比度值和表示对应图案的对比度的对比度值之间的差异来确定包含在参考图案中的对象图像与包含在对应图案中的对象图像之间的身份。