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    • 1. 发明授权
    • Driver management apparatus and travel management system
    • 驾驶员管理机器和旅行管理系统
    • US08164463B2
    • 2012-04-24
    • US12449027
    • 2008-01-30
    • Takuhiro Omi
    • Takuhiro Omi
    • G08B23/00
    • B60K28/04B60W40/08B60W50/16G06K9/00228
    • In a driver management apparatus for managing the driver of a vehicle, a state estimating means estimates a state of the driver based on the sensing information from a sensing means Based on an estimation result, an extracting means extracts, as a capture region, part of the sensing information. The capture information storing means extracts the sensing information associated with the extracted capture region and stores the extracted sensing information as capture information. The determining means determines whether the estimation result satisfies a reporting condition. When it is determined that the estimation result satisfies the reporting condition, the controlling means retrieves the capture information associated with the estimation result and causes the retrieved capture information to be transmitted with the estimation result to the external center.
    • 在用于管理车辆的驾驶员的驾驶员管理装置中,状态估计装置基于来自感测装置的感测信息来估计驾驶员的状态基于估计结果,提取装置提取作为捕获区域的一部分 传感信息。 捕获信息存储装置提取与提取的捕获区域相关联的感测信息,并将所提取的感测信息存储为捕获信息。 确定装置确定估计结果是否满足报告条件。 当确定估计结果满足报告条件时,控制装置检索与估计结果相关联的捕获信息,并将所检索的捕获信息与估计结果一起发送到外部中心。
    • 4. 发明授权
    • Face feature point detection device and program
    • 面部特征点检测装置和程序
    • US08331630B2
    • 2012-12-11
    • US13259065
    • 2010-03-26
    • Satoru NakanishiYoshiki NinomiyaTakashi NaitoShinichi KojimaYoshinao TakemaeTakuhiro OmiJun AdachiTakashi Hiramaki
    • Satoru NakanishiYoshiki NinomiyaTakashi NaitoShinichi KojimaYoshinao TakemaeTakuhiro OmiJun AdachiTakashi Hiramaki
    • G06K9/00G06K9/46
    • G06K9/00281G06T7/73
    • Detecting with good precision an eye inside corner position and an eye outside corner position as face feature points even when the eye inside corner and/or the eye outside corner portions are obscured by noise. First eyelid profile modeling is performed with a Bezier curve expressed by a fixed control point P3 indicating an eye inside corner first position detected in an image, a fixed control point P4 indicating an eye outside corner first position, a control point P1 corresponding to an upper eyelid position candidate (first parameter), and a control point P2 corresponding to a lower eyelid position candidate (second parameter). Then in a second eyelid profile model with fixed P1 and P2 of the first eyelid profile model having the highest fitting evaluation value λ to the eyelid profile in the image, the values of a control point P3 indicating an eye inside corner position candidate (third parameter) and a control point P4 indicating an eye outside corner candidate (fourth parameter) at a maximum of a fitting evaluation value λ when changing the values of the control point P3 and control point P4 are determined as an eye inside corner second position and an eye outside corner second position, respectively.
    • 即使当角落内部的眼睛和/或眼睛的外角部被噪声遮蔽时,以高精度检测眼内角位置和眼外角位置作为面部特征点。 用固定控制点P3表示的Bezier曲线进行第一次眼皮轮廓建模,所述固定控制点P3表示在图像中检测到的角内第一位置内的眼睛,指示眼睛外角角位置的眼睛的固定控制点P4,对应于上部 眼睑位置候选(第一参数)和对应于下眼睑位置候选的控制点P2(第二参数)。 然后,在具有对图像中的眼睑轮廓具有最高拟合评估值λ的第一眼睑轮廓模型的具有固定的P1和P2的第二眼睑轮廓模型中,指示角内位置候选中的眼睛的控制点P3的值(第三参数 )和将控制点P3和控制点P4的值改变时,以拟合评估值λ的最大值指示眼睛外角候选(第四参数)的控制点P4被确定为眼角内第二位置和眼睛 外角第二位。
    • 5. 发明申请
    • Face image capturing apparatus
    • 面部摄影装置
    • US20080267600A1
    • 2008-10-30
    • US12081798
    • 2008-04-22
    • Takuhiro Omi
    • Takuhiro Omi
    • G03B41/00H04N5/225
    • G06K9/00255
    • A face image capturing apparatus includes a camera, an on-axis illuminator, an off-axis illuminator, an illumination control device, an image capturing control device, and a luminance calculation process device. The camera repeatedly captures an image of a face of an occupant of a vehicle. The illumination control device is configured to adjust an illumination condition of light applied to the face of the occupant. The image capturing control device is configured to control the camera 10 to capture the image of the face at an image capturing timing that is synchronized with a timing for adjusting the illumination condition. The luminance calculation process device is configured to perform a luminance calculation process by using a bright pupil face image, a dark pupil face image, and an ambient light face image.
    • 面部摄像装置包括摄像机,轴上照明器,离轴照明器,照明控制装置,摄像控制装置以及亮度计算处理装置。 照相机重复拍摄车辆乘客的脸部的图像。 照明控制装置被配置为调节施加到乘员的脸部的光的照明条件。 图像拍摄控制装置被配置为控制相机10在与用于调节照明条件的定时同步的图像捕获定时捕获脸部的图像。 亮度计算处理装置被配置为通过使用明亮的瞳孔面部图像,暗瞳孔面部图像和环境光面部图像来执行亮度计算处理。
    • 6. 发明申请
    • Sleep warning apparatus
    • 睡眠警示器
    • US20080204256A1
    • 2008-08-28
    • US12068764
    • 2008-02-12
    • Takuhiro Omi
    • Takuhiro Omi
    • G08B23/00
    • B60K28/066G08B21/06
    • A sleep warning apparatus includes a stimulation generating portion, a reaction detecting portion, a warning determining portion, and a warning generating portion. The stimulation generating portion generates stimulation to a person before a warning is given to the person. The stimulation is used to take reaction of the person. The reaction detecting portion detects the reaction of the person to the stimulation when the stimulation generated by the stimulation generating portion is given to the person. The warning determining portion determines whether or not the warning is required to be given to the person depending on whether or not the reaction detecting portion detects the reaction of the person to the stimulation. The warning generating portion gives the warning to the person when the warning determining portion determines that the warning is required to be given to the person.
    • 睡眠警报装置包括刺激产生部分,反应检测部分,警告确定部分和警告产生部分。 刺激产生部分在向人发出警告之前对人产生刺激。 刺激是用来反应的人。 反应检测部分当对人施加由刺激产生部产生的刺激时,检测人对刺激的反应。 警告确定部分根据反应检测部分是否检测到人对刺激的反应来确定是否需要给予警告。 当警告确定部分确定需要给予该人的警告时,警告产生部分向该人发出警告。
    • 8. 发明授权
    • Drowsiness assessment device and program
    • 嗜睡评估装置和程序
    • US08306271B2
    • 2012-11-06
    • US13257182
    • 2010-03-17
    • Takumi YodaTakuhiro OmiAkira KadoyaIsahiko Tanaka
    • Takumi YodaTakuhiro OmiAkira KadoyaIsahiko Tanaka
    • G06K9/00
    • A61B5/18A61B5/1103A61B5/1128A61B5/6821A61B2503/22B60K28/06G08B21/06
    • Local maxima values and local minima values are derived from eyelid openness time series data in a segment in which a continuous closed eye period of extracted blinks is a specific time duration (for example 1 second) or longer. When plural local minima values are present in the segment of continuous closed eye period of 1 second or longer, blinks are extracted passing over and back through each variable closed eye threshold value of a variable closed eye threshold that is slid in a direction from the derived local maxima value towards the local minima value in set steps to a low value, and a inter-blink interval derived. Determination is made that a blink burst has occurred when the derived inter-blink interval is 1 second or less, and say greater than 0.2 seconds, thereby detecting a blink burst. Blink bursts can be detected with good precision, and the state of drowsiness can be assessed with good precision.
    • 局部最大值和局部最小值是从其中提取的闪烁的连续闭合眼睛周期是特定持续时间(例如1秒)或更长时间段的眼睑开放时间序列数据导出的。 当连续闭眼期为1秒以上的区域存在多个局部最小值时,通过从导出的方向滑动的可变闭眼阈值的每个可变闭眼阈值提取眨眼, 局部最大值对设定步骤中的局部最小值至低值,以及衍生的眨眼间隔。 确定当导出的眨眼间隔为1秒以下,并且说大于0.2秒时发生了闪烁突发,从而检测到闪烁。 可以精确地检测到眨眼,可以精确地评估瞌睡状态。