INTELLIGENT IMAGE SEGMENTATION SYSTEM AND METHOD FOR ACCURATE TARGET DETECTION
    21.
    发明申请
    INTELLIGENT IMAGE SEGMENTATION SYSTEM AND METHOD FOR ACCURATE TARGET DETECTION 失效
    智能图像分割系统和精确目标检测方法

    公开(公告)号:US20100220904A1

    公开(公告)日:2010-09-02

    申请号:US12395217

    申请日:2009-02-27

    IPC分类号: G06K9/00 G06K9/46

    CPC分类号: G06K9/3241

    摘要: Methods and apparatus are provided for dividing an image into a plurality of image chips for presentation on a display. Potential objects of interest are detected within an image by detecting features therein that correspond to objects of interest. The image is uniformly divided into a plurality of preliminary image chips. Triage image chips are generated by automatically adjusting each preliminary image chip such that the potential objects of interest detected within each preliminary image chip are at least substantially centered in each preliminary image chip.

    摘要翻译: 提供了用于将图像分割成多个图像芯片以在显示器上呈现的方法和装置。 通过检测与图像中的特征相对应的感兴趣对象,在图像内检测出感兴趣的潜在对象。 图像被均匀地划分为多个预备图像码片。 通过自动调整每个初步图像芯片,使得在每个初步图像芯片内检测到的感兴趣的目标物体在每个初步图像芯片中至少基本居中,产生分类图像芯片。

    System and method for range and velocity estimation in video data as a function of anthropometric measures
    23.
    发明授权
    System and method for range and velocity estimation in video data as a function of anthropometric measures 有权
    视频数据中范围和速度估计的系统和方法作为人体测量的一个功能

    公开(公告)号:US08520895B2

    公开(公告)日:2013-08-27

    申请号:US12980898

    申请日:2010-12-29

    IPC分类号: G06K9/00

    摘要: A system and method calculate a range and velocity of an object in image data. The range calculation includes detecting a contour of the object from the image data, forming a template from the image data based on the contour; and calculating a range to the object using pixel resolution and dimension statistics of the object. A three-dimensional velocity of the object is determined by calculating a radial component and an angular component of the velocity. The radial velocity component is calculated by determining the range of the object in two or more image frames, determining a time differential between the two or more image frames, and calculating the radial velocity as a function of the range of the object in the two or more image frames and the time differential between the two or more image frames. The angular component is calculated using spatial-temporal derivatives as a function of a motion constraint equation.

    摘要翻译: 系统和方法计算图像数据中对象的范围和速度。 范围计算包括从图像数据检测对象的轮廓,基于轮廓从图像数据形成模板; 并使用对象的像素分辨率和维度统计来计算对象的范围。 通过计算速度的径向分量和角分量来确定对象的三维速度。 通过确定两个或多个图像帧中的对象的范围,确定两个或更多个图像帧之间的时间差,并且计算作为两个或更多个图像帧中的对象的范围的函数的径向速度来计算径向速度分量 更多的图像帧和两个或更多个图像帧之间的时间差。 使用空间 - 时间导数作为运动约束方程的函数来计算角分量。

    SYSTEM AND METHOD FOR DETECTING RADIATION EMISSIONS
    24.
    发明申请
    SYSTEM AND METHOD FOR DETECTING RADIATION EMISSIONS 有权
    用于检测辐射发射的系统和方法

    公开(公告)号:US20120327231A1

    公开(公告)日:2012-12-27

    申请号:US13167372

    申请日:2011-06-23

    IPC分类号: H04N7/18 G06F15/00 G01T1/00

    CPC分类号: G01V5/0066 G01V5/0075

    摘要: A method includes receiving radiation sensor data from two radiation sensors that are positioned separately from each other about a path. Position information identifying a source of radiation as it passes by the two radiation sensors is received. The sensor data from the two radiation sensors is time shifted to correlate the sensor data to the identified source of radiation. The time shifted sensor signals are summed.

    摘要翻译: 一种方法包括从相对于路径彼此分开定位的两个辐射传感器接收辐射传感器数据。 接收通过两个辐射传感器识别辐射源的位置信息。 来自两个辐射传感器的传感器数据被时间偏移以将传感器数据与所识别的辐射源相关联。 时移传感器信号相加。

    System for iris detection tracking and recognition at a distance
    25.
    发明授权
    System for iris detection tracking and recognition at a distance 有权
    虹膜检测系统远程跟踪和识别

    公开(公告)号:US08064647B2

    公开(公告)日:2011-11-22

    申请号:US11382373

    申请日:2006-05-09

    IPC分类号: G06K9/00

    摘要: A stand-off range or at-a-distance iris detection and tracking for iris recognition having a head/face/eye locator, a zoom-in iris capture mechanism and an iris recognition module. The system may obtain iris information of a subject with or without his or her knowledge or cooperation. This information may be sufficient for identification of the subject, verification of identity and/or storage in a database.

    摘要翻译: 用于具有头/面/眼定位器,放大虹膜捕获机构和虹膜识别模块的虹膜识别的间隔范围或远距离虹膜检测和跟踪。 该系统可以获得有或没有他或她的知识或合作的受试者的虹膜信息。 该信息可能足以识别主题,身份验证和/或数据库中的存储。

    SYSTEM FOR IRIS DETECTION, TRACKING AND RECOGNITION AT A DISTANCE
    26.
    发明申请
    SYSTEM FOR IRIS DETECTION, TRACKING AND RECOGNITION AT A DISTANCE 有权
    用于IRIS检测,跟踪和识别的系统

    公开(公告)号:US20110187845A1

    公开(公告)日:2011-08-04

    申请号:US13077821

    申请日:2011-03-31

    IPC分类号: H04N7/18

    摘要: A stand-off range or at-a-distance iris detection and tracking for iris recognition having a head/face/eye locator, a zoom-in iris capture mechanism and an iris recognition module. The system may obtain iris information of a subject with or without his or her knowledge or cooperation. This information may be sufficient for identification of the subject, verification of identity and/or storage in a database.

    摘要翻译: 用于具有头/面/眼定位器,放大虹膜捕获机构和虹膜识别模块的虹膜识别的间隔范围或远距离虹膜检测和跟踪。 该系统可以获得有或没有他或她的知识或合作的受试者的虹膜信息。 该信息可能足以识别主题,身份验证和/或数据库中的存储。

    Method and apparatus for identifying physical features in video
    27.
    发明授权
    Method and apparatus for identifying physical features in video 有权
    用于识别视频中的物理特征的方法和装置

    公开(公告)号:US07567704B2

    公开(公告)日:2009-07-28

    申请号:US11289886

    申请日:2005-11-30

    CPC分类号: G06K9/00771 G06K9/46

    摘要: An image is processed by a sensed-feature-based classifier to generate a list of objects assigned to classes. The most prominent objects (those objects whose classification is most likely reliable) are selected for range estimation and interpolation. Based on the range estimation and interpolation, the sensed features are converted to physical features for each object. Next, that subset of objects is then run through a physical-feature-based classifier that re-classifies the objects. Next, the objects and their range estimates are re-run through the processes of range estimation and interpolation, sensed-feature-to-physical-feature conversion, and physical-feature-based classification iteratively to continuously increase the reliability of the classification as well as the range estimation. The iterations are halted when the reliability reaches a predetermined confidence threshold. In a preferred embodiment, a next subset of objects having the next highest prominence in the same image is selected and the entire iterative process is repeated. This set of iterations will include evaluation of both of the first and second subsets of objects. The process can be repeated until all objects have been classified.

    摘要翻译: 图像由基于感测特征的分类器处理以生成分配给类的对象的列表。 选择最突出的对象(那些分类最可靠的对象)用于范围估计和插值。 基于范围估计和内插,感测到的特征被转换为每个对象的物理特征。 接下来,该对象的子集然后通过基于物理特征的分类器来运行,该分类器重新分类对象。 接下来,通过范围估计和插值,感测特征到物理特征转换和基于物理特征的分类的过程重新运行对象及其范围估计,以不断提高分类的可靠性 作为范围估计。 当可靠性达到预定的置信阈值时,迭代停止。 在优选实施例中,选择具有相同图像中的下一个最高突出的对象的下一个子集,并重复整个迭代过程。 这组迭代将包括评估对象的第一和第二子集。 可以重复该过程,直到所有对象都被分类为止。

    Method and system for determining shutter fluttering sequence
    28.
    发明授权
    Method and system for determining shutter fluttering sequence 有权
    确定快门振动序列的方法和系统

    公开(公告)号:US09332191B2

    公开(公告)日:2016-05-03

    申请号:US12421296

    申请日:2009-04-09

    IPC分类号: H04N5/235 H04N5/232

    CPC分类号: H04N5/2353 H04N5/23229

    摘要: A method, system and computer-usable medium for determining shutter fluttering sequence. The disclosed approach is based on the use of shutter flutter technology, which means that an image can be acquired in such a manner as to encode all information about the moving subject. The disclosed approach involves determining a shutter's fluttering pattern that optimally encodes information at all frequencies. The disclosed approach involves an optimization method for finding a shutter fluttering pattern that has several desired properties. These properties can be expressed in the context of a fitness function: given a fluttering pattern and the target subject's velocity, it produces the equivalent Modulation Transfer Function (MTF), measures three attributes, and produces a fitness score. These attributes are the minimum contrast, the variance in contrast across spatial frequencies, and the mean contrast. The objective of the disclosed approach is to determine the fluttering pattern that maximizes the fitness score.

    摘要翻译: 一种用于确定快门飘飘序列的方法,系统和计算机可用介质。 所公开的方法是基于快门颤动技术的使用,这意味着可以以对编码关于移动被摄体的所有信息的方式来获取图像。 所公开的方法涉及确定在所有频率处对信息进行最佳编码的快门飘动模式。 所公开的方法涉及用于找到具有若干期望特性的快门飘动图案的优化方法。 这些属性可以在适应度函数的上下文中表达:给出一个飘动的模式和目标对象的速度,它产生等效的调制传递函数(MTF),测量三个属性,并产生适合度。 这些属性是最小对比度,空间频率对比度的差异以及平均对比度。 所公开的方法的目的是确定使适应度得分最大化的飘动模式。

    Feature-based method and system for blur estimation in eye images
    29.
    发明授权
    Feature-based method and system for blur estimation in eye images 有权
    基于特征的眼图模糊估计方法和系统

    公开(公告)号:US08873810B2

    公开(公告)日:2014-10-28

    申请号:US12421263

    申请日:2009-04-09

    IPC分类号: G06K9/40 G06K9/00

    CPC分类号: G06K9/00604

    摘要: A feature-based method and system for blur estimation in eye images. A blur estimation can be performed from eye/iris images in order to produce de-blurred images that are more useful for biometric identification. The eye/iris region, in particular the edge between the iris and pupil regions, can be utilized. The pattern of shutter motion or a characterization of the optical system can be utilized. By capturing a burst of images, or a video stream, one can use eye position in the images before and after a given capture to predict the motion of the eye within that capture. Because the before/after image frames need only contain the information necessary to locate the eye, and need not contain sufficient information to perform matching, the capture of these images can be accomplished with a wider range of settings.

    摘要翻译: 一种基于特征的眼图模糊估计方法和系统。 可以从眼睛/虹膜图像执行模糊估计,以产生对生物识别更有用的去模糊图像。 可以利用眼/虹膜区域,特别是虹膜和瞳孔区域之间的边缘。 可以利用快门运动的模式或光学系统的表征。 通过捕获图像的突发或视频流,可以在给定捕获之前和之后的图像中使用眼睛位置来预测该捕获内的眼睛的运动。 因为前/后图像帧仅需要包含定位眼睛所需的信息,并且不需要包含足够的信息来执行匹配,所以可以利用较宽的设置范围来捕获这些图像。

    System for iris detection, tracking and recognition at a distance
    30.
    发明授权
    System for iris detection, tracking and recognition at a distance 有权
    用于虹膜检测,远程跟踪和识别的系统

    公开(公告)号:US08761458B2

    公开(公告)日:2014-06-24

    申请号:US13077821

    申请日:2011-03-31

    IPC分类号: G06K9/00

    摘要: A stand-off range or at-a-distance iris detection and tracking for iris recognition having a head/face/eye locator, a zoom-in iris capture mechanism and an iris recognition module. The system may obtain iris information of a subject with or without his or her knowledge or cooperation. This information may be sufficient for identification of the subject, verification of identity and/or storage in a database.

    摘要翻译: 用于具有头/面/眼定位器,放大虹膜捕获机构和虹膜识别模块的虹膜识别的间隔范围或远距离虹膜检测和跟踪。 该系统可以获得有或没有他或她的知识或合作的受试者的虹膜信息。 该信息可能足以识别主题,身份验证和/或数据库中的存储。