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    • 2. 发明授权
    • Vehicle periphery monitoring apparatus
    • 车辆周边监控装置
    • US08648912B2
    • 2014-02-11
    • US13123997
    • 2009-10-08
    • Kodai MatsudaMakoto AimuraIzumi Takatsudo
    • Kodai MatsudaMakoto AimuraIzumi Takatsudo
    • H04N7/18
    • B60R1/00B60R2300/205B60R2300/305B60R2300/308B60R2300/70B60R2300/8093G06K9/00805G06K9/2018
    • Bicycles present before a vehicle are identified. A picked-up image having intensity values that are in accordance with the temperatures of objects is acquired to extract image regions having intensity values representative of higher temperatures than a background. An object, which includes a pair of first object portions (legs) and a second object portion (a tire), would be identified as a bicycle if the pair of first object portions, which have greater dimensions in length in the vertical direction than in width in the horizontal direction and the distance between which is less than a predetermined value in the horizontal direction, are detected from the extracted image regions and further if the second object portion, which has a different intensity value from any one of the first object portions and also has a length greater than a predetermined value in the vertical direction, is existent between the pair of first object portions.
    • 在车辆被识别之前出现的自行车。 获取具有与物体的温度相一致的强度值的拍摄图像,以提取具有表示比背景高的温度的强度值的图像区域。 包括一对第一物体部分(腿)和第二物体部分(轮胎)的物体如果在垂直方向上具有比在垂直方向长的尺寸的一对第一物体部分,则被识别为自行车 从所提取的图像区域检测水平方向上的宽度和其在水平方向上的距离小于预定值的距离,并且如果具有与第一对象部分中的任何一个具有不同强度值的第二对象部分 并且还具有在垂直方向上大于预定值的长度,存在于该对第一对象部分之间。
    • 3. 发明申请
    • VEHICLE PERIPHERY MONITORING APPARATUS
    • 车辆周边监控装置
    • US20110234804A1
    • 2011-09-29
    • US13123997
    • 2009-10-08
    • Kodai MatsudaMakoto AimuraIzumi Takatsudo
    • Kodai MatsudaMakoto AimuraIzumi Takatsudo
    • H04N7/18
    • B60R1/00B60R2300/205B60R2300/305B60R2300/308B60R2300/70B60R2300/8093G06K9/00805G06K9/2018
    • Bicycles present before a vehicle are identified. A picked-up image having intensity values that are in accordance with the temperatures of objects is acquired to extract image regions having intensity values representative of higher temperatures than a background. An object, which includes a pair of first object portions (legs) and a second object portion (a tire), would be identified as a bicycle if the pair of first object portions, which have greater dimensions in length in the vertical direction than in width in the horizontal direction and the distance between which is less than a predetermined value in the horizontal direction, are detected from the extracted image regions and further if the second object portion, which has a different intensity value from any one of the first object portions and also has a length greater than a predetermined value in the vertical direction, is existent between the pair of first object portions.
    • 在车辆被识别之前出现的自行车。 获取具有与物体的温度相一致的强度值的拍摄图像,以提取具有表示比背景高的温度的强度值的图像区域。 包括一对第一物体部分(腿)和第二物体部分(轮胎)的物体如果在垂直方向上具有比在垂直方向长的尺寸的一对第一物体部分,则被识别为自行车 从所提取的图像区域检测水平方向上的宽度和其在水平方向上的距离小于预定值的距离,并且如果具有与第一对象部分中的任一个具有不同强度值的第二对象部分 并且还具有在垂直方向上大于预定值的长度,存在于该对第一对象部分之间。
    • 4. 发明申请
    • APPARATUS FOR MONITORING VICINITY OF A VEHICLE
    • 用于监测车辆的维修的装置
    • US20130103299A1
    • 2013-04-25
    • US13808120
    • 2011-06-15
    • Kodai MatsudaNobuharu NagaokaHiroshi Hattori
    • Kodai MatsudaNobuharu NagaokaHiroshi Hattori
    • G06F17/00
    • G06F17/00G06K9/00805G06K9/00825G06T7/579G06T2207/10048G06T2207/30196G06T2207/30261G08G1/166
    • Category determination is performed on an object candidate extracted from a captured image after an exclusion process is performed in advance. In the exclusion process, a distance from a vehicle to the object candidate is calculated based on a size of the object candidate in a current image, a moved distance of the vehicle occurring in a time interval from a time a previous image was captured to a time the current image is captured is calculated, the size of the object candidate in the current image is decreased at a change ratio based on the distance to the object candidate and the moved distance, and a size of the object candidate in the previous image and a size of the object candidate decreased at the change ratio are compared. The object candidate with difference between them being determined to be larger than a predetermined value is removed.
    • 在预先执行排除处理之后,对从拍摄图像提取的对象候选进行类别判定。 在排除处理中,基于当前图像中的对象候选者的大小,从从前一图像拍摄到时间的时间间隔中发生的车辆的移动距离,计算从车辆到候选对象的距离 计算当前图像被捕获的时间,基于到目标候选者的距离和移动的距离以及前一图像中的候选对象的大小,以当前图像中的对象候选者的大小以变化比减少, 比较以变化比减少的对象候选者的大小。 被确定为大于预定值的差异的对象候选者被去除。
    • 5. 发明授权
    • Vehicle periphery monitoring device
    • 车辆周边监控装置
    • US08139821B2
    • 2012-03-20
    • US13119324
    • 2009-07-10
    • Makoto AimuraNobuharu NagaokaKodai Matsuda
    • Makoto AimuraNobuharu NagaokaKodai Matsuda
    • G06K9/00
    • G01C3/085G06K9/00805G06T7/593G06T7/70G06T2207/10021G06T2207/30252
    • A vehicle periphery monitoring device includes: a parallax calculating unit which extracts a first image section that contains a target object in real space from a first image imaged by a first imaging unit at a predetermined time and extracts a second image section correlated to the first image section from a second image imaged by a second imaging unit at the predetermined time, and then calculates the parallax between the first image section and the second image section; a parallax gradient calculating unit for calculating a parallax gradient based on a time series calculation of the parallax of the identical target object in real space by the parallax calculating unit; and a first distance calculating unit for calculating the distance from the vehicle to the target object on the basis of the parallax gradient and the velocity of the vehicle.
    • 车辆外围监视装置包括:视差计算单元,其在预定时间内从由第一成像单元成像的第一图像中提取包含实际空间中的目标对象的第一图像部分,并提取与第一图像相关的第二图像部分 在由所述预定时间由第二成像单元成像的第二图像的部分,然后计算所述第一图像部分和所述第二图像部分之间的视差; 视差梯度计算单元,用于通过视差计算单元基于实际空间中的相同目标对象的视差的时间序列计算来计算视差梯度; 以及第一距离计算单元,用于基于视差梯度和车辆的速度来计算从车辆到目标物体的距离。
    • 7. 发明申请
    • VEHICLE SURROUNDINGS MONITORING DEVICE
    • 车辆环境监测装置
    • US20130243261A1
    • 2013-09-19
    • US13817466
    • 2011-06-22
    • Kodai MatsudaNobuharu NagaokaMakoto Aimura
    • Kodai MatsudaNobuharu NagaokaMakoto Aimura
    • G06K9/00
    • G06K9/00805G08G1/166
    • When it is determined that a type of a physical body in real space corresponding to an image portion is a crossing pedestrian, a distance calculating unit 13 performs a first distance calculating process of calculating a distance between a vehicle 1 and the physical body, on the basis of a correlative relationship between the distance from the vehicle 1 set on assumption of a height of the pedestrian and a height of the image portion, according to the height of the image portion. When it is determined that the type of the physical body is not the crossing pedestrian, then the distance calculating unit 13 performs a second distance calculating process which calculates the distance between the physical body and the vehicle, on the basis of a change in size of the image portions of the physical body extracted from time-series captured images.
    • 当确定对应于图像部分的实际空间中的身体的类型是交叉行人时,距离计算单元13执行计算车辆1和身体之间的距离的第一距离计算处理,在 根据图像部分的高度,基于假定行人高度和图像部分的高度之间的车辆1的距离之间的相关关系的基础。 当确定身体的类型不是交叉行人时,距离计算单元13基于大小的变化来执行计算身体和车辆之间的距离的第二距离计算处理 从时间序列拍摄图像中提取物理身体的图像部分。
    • 8. 发明授权
    • Living body recognizing device
    • 生物识别装置
    • US09292735B2
    • 2016-03-22
    • US14131969
    • 2012-08-31
    • Nobuharu NagaokaMakoto AimuraKodai Matsuda
    • Nobuharu NagaokaMakoto AimuraKodai Matsuda
    • G06K9/00G08G1/16H04N7/18H04N5/33
    • G06K9/00369G08G1/166H04N5/33H04N7/18
    • A living body recognizing device is equipped with a captured image acquiring unit which acquires captured images from infrared cameras having a characteristics that a luminance of an image portion of a target object becomes higher as a temperature of the target object becomes higher than a background, and vice versa, according to a temperature difference between the background and the target object, a living body image extracting unit which executes a first living body image extracting processing of extracting the image portion of the target object assumed as a living body, from a region in the captured image where the luminance is equal to or lower than a first threshold value, and a living body recognizing unit which recognizes an existence of the living body, based on the image portion of the target object extracted by the living body image extracting unit.
    • 生物体识别装置配备有捕捉图像获取单元,其从具有目标对象的图像部分的亮度变得更高的特征的红外线照相机获取捕获图像,因为目标对象的温度变得高于背景,并且 反之亦然,根据背景和目标对象之间的温度差,生物体图像提取单元执行从假定为生物体的目标对象的图像部分提取的第一生物体图像提取处理, 基于由生物体图像提取单元提取的目标对象的图像部分,识别生物体的存在的生物体识别单元,其中亮度等于或低于第一阈值的拍摄图像。
    • 10. 发明申请
    • VEHICLE PERIPHERY MONITORING DEVICE
    • 车辆周边监控装置
    • US20110170748A1
    • 2011-07-14
    • US13119324
    • 2009-07-10
    • Makoto AimuraNobuharu NagaokaKodai Matsuda
    • Makoto AimuraNobuharu NagaokaKodai Matsuda
    • G06K9/00
    • G01C3/085G06K9/00805G06T7/593G06T7/70G06T2207/10021G06T2207/30252
    • A vehicle periphery monitoring device includes: a parallax calculating unit which extracts a first image section that contains a target object in real space from a first image imaged by a first imaging unit at a predetermined time and extracts a second image section correlated to the first image section from a second image imaged by a second imaging unit at the predetermined time, and then calculates the parallax between the first image section and the second image section; a parallax gradient calculating unit for calculating a parallax gradient based on a time series calculation of the parallax of the identical target object in real space by the parallax calculating unit; and a first distance calculating unit for calculating the distance from the vehicle to the target object on the basis of the parallax gradient and the velocity of the vehicle.
    • 车辆外围监视装置包括:视差计算单元,其在预定时间内从由第一成像单元成像的第一图像中提取包含实际空间中的目标对象的第一图像部分,并提取与第一图像相关的第二图像部分 在由所述预定时间由第二成像单元成像的第二图像的部分,然后计算所述第一图像部分和所述第二图像部分之间的视差; 视差梯度计算单元,用于通过视差计算单元基于实际空间中的相同目标对象的视差的时间序列计算来计算视差梯度; 以及第一距离计算单元,用于基于视差梯度和车辆的速度来计算从车辆到目标物体的距离。