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31. 发明授权

US08254634B2 Intelligent image segmentation system and method for accurate target detection 失效
标题翻译：智能图像分割系统及方法，用于精确的目标检测
公开(公告)号：US08254634B2
公开(公告)日：2012-08-28
申请号：US12395217
申请日：2009-02-27
申请人： Santosh Mathan , Misha Pavel , Deniz Erdogmus , Kenneth Hild , Rida Hamza , Kwong Wing Au
发明人： Santosh Mathan , Misha Pavel , Deniz Erdogmus , Kenneth Hild , Rida Hamza , Kwong Wing Au
IPC分类号： G06K9/00
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，在图像内检测到感兴趣的潜在对象。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。

32. 发明授权

US07945074B2 System for iris detection tracking and recognition at a distance 有权
公开(公告)号：US07945074B2
公开(公告)日：2011-05-17
申请号：US11382373
申请日：2006-05-09
申请人： Michael E. Bazakos , Kwong Wing Au , George A. Kilgore
发明人： Michael E. Bazakos , Kwong Wing Au , George A. Kilgore
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.

33. 发明申请

US20110069174A1 AUTHENTICATION APPARATUS FOR VALUE DOCUMENTS 有权
标题翻译：价值文件的认证装置
公开(公告)号：US20110069174A1
公开(公告)日：2011-03-24
申请号：US12877618
申请日：2010-09-08
申请人： William Ross Rapoport , Kwong Wing Au , James Kane , Carsten Lau
发明人： William Ross Rapoport , Kwong Wing Au , James Kane , Carsten Lau
IPC分类号： H04N7/18
CPC分类号： G07D7/205 , G07D7/128
摘要： A value document authentication apparatus and system that includes value document substrates having a uniform distribution of one or more phosphors that emit infrared radiation in one or more wavelengths, which can be measured at the same location on the value document that is illuminated by a phosphor exciting light source when the document passes the light source with a uniform velocity. The illumination and measurement locations on the value document can be offset. The measured infrared radiation as a series of overlapped measurements along a pre-selected track in the value document represents an intensity profile, which can be normalized after removing high variations. The normalized intensity profile of a test value document can be compared with normalized intensity profile from valid reference documents to authenticate the test value document.
摘要翻译：一种价值凭证认证装置和系统，其包括具有发射一个或多个波长的红外辐射的一种或多种磷光体的均匀分布的价值文件基板，其可以在由磷光体激发的价值文献上的相同位置处测量当文件以均匀的速度通过光源时，光源。价值文件上的照明和测量位置可以被偏移。测量的红外辐射作为价值文件中预选轨道的一系列重叠测量结果表示强度分布，其可以在去除高变化之后进行归一化。测试值文档的归一化强度分布可以与有效参考文档的归一化强度分布进行比较，以验证测试值文档。

34. 发明申请

US20110007940A1 AUTOMATED TARGET DETECTION AND RECOGNITION SYSTEM AND METHOD 有权
标题翻译：自动目标检测和识别系统及方法
公开(公告)号：US20110007940A1
公开(公告)日：2011-01-13
申请号：US12499707
申请日：2009-07-08
申请人： Rida Hamza , Kwong Wing Au , Santosh Mathan
发明人： Rida Hamza , Kwong Wing Au , Santosh Mathan
IPC分类号： G06K9/00
CPC分类号： G06K9/3241 , G06K9/0063 , G06K9/4609 , G06K9/629
摘要： Methods and apparatus are provided for recognizing particular objects of interest in a captured image. One or more salient features that are correlative to an object of interest are detected within a captured image. The captured image is segmented into one or more regions of interest that include a detected salient feature. A covariance appearance model is generated for each of the one or more regions of interest, and first and second comparisons are conducted. The first comparisons comprise comparing each of the generated covariance appearance models to a plurality of stored covariance appearance models, and the second comparisons comprise comparing each of the generated covariance appearance models to each of the other generated covariance appearance model. Based on the first and second comparisons, a determination is made as to whether each of the one or more detected salient features is a particular object of interest.
摘要翻译：提供了用于识别拍摄图像中的特定感兴趣对象的方法和装置。在捕获的图像内检测与感兴趣对象相关的一个或多个显着特征。捕获的图像被分割成包括检测到的显着特征的一个或多个感兴趣区域。为感兴趣的一个或多个区域中的每一个生成协方差外观模型，并进行第一和第二比较。第一比较包括将生成的协方差外观模型中的每一个与多个存储的协方差外观模型进行比较，并且第二比较包括将所产生的协方差外观模型中的每一个与每个其他生成的协方差外观模型进行比较。基于第一和第二比较，确定一个或多个检测到的突出特征中的每一个是否是特定的感兴趣对象。

35. 发明申请

US20100239119A1 SYSTEM FOR IRIS DETECTION TRACKING AND RECOGNITION AT A DISTANCE 有权
标题翻译：用于IRIS检测跟踪和识别的系统
公开(公告)号：US20100239119A1
公开(公告)日：2010-09-23
申请号：US11382373
申请日：2006-05-09
申请人： Michael E. Bazakos , Kwong Wing Au , George A. Kilgore
发明人： Michael E. Bazakos , Kwong Wing Au , George A. Kilgore
IPC分类号： G06K9/00
CPC分类号： G06K9/00604 , G06K9/00261 , G06K9/00597 , G06K9/0061 , G06K9/00617
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。

36. 发明申请

US20100145659A1 SPECTRA SIGNAL DETECTION SYSTEM 有权
标题翻译：光谱信号检测系统
公开(公告)号：US20100145659A1
公开(公告)日：2010-06-10
申请号：US12329432
申请日：2008-12-05
申请人： Darryl Busch , Michael John Flanagan , Kwong Wing Au , Saad J. Bedros , Mirela Onorica Popa
发明人： Darryl Busch , Michael John Flanagan , Kwong Wing Au , Saad J. Bedros , Mirela Onorica Popa
IPC分类号： G06F15/00 , G01J3/28
CPC分类号： G01J3/28 , G01J3/0289 , G01N21/3504 , G01N2021/1795 , G01N2021/3531 , G01N2021/3595
摘要： A detection system which provides for continuous background estimation removal from a sequence of spectra. A panoramic field of regard may be partitioned into a large number of fields of view (FOVs). An FOV may have a chemical vapor cloud. The small FOV may maximize detection of the cloud. Such detection may require removing the spectral characteristics other than that of the target cloud. This may amount to removal of background spectra with an estimated background developed from one or more FOVs which may or may not be similar to the background of the FOV with the target cloud. A number of estimated background spectra of the other FOVs may be used individually to greatly increase the detection probability of the target chemical.
摘要翻译：一种提供从光谱序列中去除连续背景估计的检测系统。全景视域可以划分成大量的视野（FOV）。 FOV可能具有化学气相云。小FOV可以最大限度地发现云的检测。这种检测可能需要去除与目标云不同的光谱特征。这可能相当于从一个或多个FOV开发的估计背景的背景光谱的去除，其可以或可以不类似于具有目标云的FOV的背景。可以单独使用其他FOV的多个估计背景光谱，以大大增加目标化学物质的检测概率。

37. 发明授权

US07646922B2 Object classification in video images 有权
标题翻译：视频图像中的对象分类
公开(公告)号：US07646922B2
公开(公告)日：2010-01-12
申请号：US11323826
申请日：2005-12-30
申请人： Kwong Wing Au , Saad J. Bedros , Keith L. Curtner
发明人： Kwong Wing Au , Saad J. Bedros , Keith L. Curtner
IPC分类号： G06K9/68 , G06K9/46 , G06K9/00
CPC分类号： G06K9/00791 , G06K9/4652
摘要： A combination of inter-frame and intra-frame and sequential classification methods provide for robust and flexible object classification. Intra-frame classification determines the object type based on features extracted from a single image. Inter-frame classification determines object types based on the features extracted from several sequential frames. A sequential classification combines the results of the inter- and intra-frame classifications over a sequence of images.
摘要翻译：帧间和帧内和顺序分类方法的组合提供了强大而灵活的对象分类。帧内分类基于从单个图像提取的特征来确定对象类型。帧间分类基于从几个连续帧中提取的特征来确定对象类型。顺序分类将帧间和帧内分类的结果组合在一系列图像上。

38. 发明申请

US20070274402A1 Application of short term and long term background scene dynamics in motion detection 审中-公开
标题翻译：短期和长期背景场景动态在运动检测中的应用
公开(公告)号：US20070274402A1
公开(公告)日：2007-11-29
申请号：US11440232
申请日：2006-05-23
申请人： M. Mohamad Ibrahim , Kwong Wing Au
发明人： M. Mohamad Ibrahim , Kwong Wing Au
IPC分类号： H04B1/66
CPC分类号： G06T7/254 , H04N5/144
摘要： A method for motion detection includes capturing a plurality of frame images. The plurality of frame images is preprocessed. A first background reference is generated based on a first subset of the plurality of frame images. A second background reference is generated based on a second subset of the plurality of frame images, wherein the second subset of the plurality of frame images is a subset of the first subset of the plurality of frame images. A first motion result is generated based on the first background reference and a second motion result is generated based on the second background reference. The first motion result and the second motion result are combined to generate a combined result. Object motion is detected based on the combined result.
摘要翻译：一种用于运动检测的方法包括捕获多个帧图像。多个帧图像被预处理。基于多个帧图像的第一子集生成第一背景参考。基于多个帧图像的第二子集生成第二背景参考，其中多个帧图像的第二子集是多个帧图像的第一子集的子集。基于第一背景参考产生第一运动结果，并且基于第二背景参考生成第二运动结果。组合第一运动结果和第二运动结果以产生组合结果。基于组合结果检测物体运动。

39. 发明授权

US09332191B2 Method and system for determining shutter fluttering sequence 有权
标题翻译：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
申请人： Scott McCloskey , Jan Jelinek , Kwong Wing Au
发明人： Scott McCloskey , Jan Jelinek , Kwong Wing Au
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。

40. 发明授权

US08873810B2 Feature-based method and system for blur estimation in eye images 有权
标题翻译：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
申请人： Scott McCloskey , Jan Jelinek , Kwong Wing Au
发明人： Scott McCloskey , Jan Jelinek , Kwong Wing Au
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。

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