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    • 41. 发明申请
    • Anomaly detection in a video system
    • 视频系统中的异常检测
    • US20080031491A1
    • 2008-02-07
    • US11498923
    • 2006-08-03
    • Yunqian MaMichael E. BazakosKwong Wing Au
    • Yunqian MaMichael E. BazakosKwong Wing Au
    • G06K9/00G06K9/46G06K9/62G06K9/66
    • G06K9/00771G06K9/6284G08B13/19613
    • In an embodiment, a video processor is configured to identify anomalous or abnormal behavior. A hierarchical behavior model based on the features of the complement of the abnormal behavior of interest is developed. For example, if the abnormal behavior is stealing or shoplifting, a model is developed for the actions of normal shopping behavior (i.e., not stealing or not shoplifting). Features are extracted from video data and applied to an artificial intelligence construct such as a dynamic Bayesian network (DBN) to determine if the normal behavior is present in the video data (i.e, the complement of the abnormal behavior). If the DBN indicates that the extracted features depart from the behavior model (the complement of the abnormal behavior), then the presence of the abnormal behavior in the video data may be assumed.
    • 在一个实施例中,视频处理器被配置为识别异常或异常行为。 开发了基于异常行为的补充特征的分层行为模型。 例如,如果异常行为是偷窃或偷窃,则为正常购物行为(即不偷窃或不偷窃)的行为开发出一个模型。 从视频数据提取特征并将其应用于诸如动态贝叶斯网络(DBN)的人造智能结构,以确定视频数据中是否存在正常行为(即,异常行为的补充)。 如果DBN指示提取的特征离开行为模型(异常行为的补充),则可以假设视频数据中的异常行为的存在。
    • 42. 发明申请
    • Method and system for the detection of removed objects in video images
    • 用于检测视频图像中删除的对象的方法和系统
    • US20070286482A1
    • 2007-12-13
    • US11449217
    • 2006-06-07
    • Kwong Wing Au
    • Kwong Wing Au
    • G06K9/34G06K9/00
    • G06K9/00771G06T7/254G06T2207/10016G06T2207/30196G08B13/1961
    • A method, system and program product for the detection of removed objects in video images is disclosed. An object (or objects) is within a fixed camera's FOV (Field of View), is designated to be monitored. If an object is not designated, an algorithm can be used to segment and identify all the objects in the image that is acquired by a fixed camera. In such case, all these objects can be monitored. A reference frame around the monitored object that also includes the surrounding background can be determined. The object can be extracted out of the reference frame, thereby creating a “reference with hole” image and an object reference image. The hole in the “reference with hole” image can be filled by either an in-painting algorithm or a texture synthesis algorithm depending on the complexity of the surrounding background.
    • 公开了一种用于检测视频图像中被去除对象的方法,系统和程序产品。 物体(或物体)在固定摄像机的视场范围内,被指定为监视。 如果未指定对象,则可以使用算法来分割和识别由固定摄像机获取的图像中的所有对象。 在这种情况下,可以监视所有这些对象。 可以确定包括周围背景的被监视对象周围的参考框架。 可以将对象从参考框架中提取出来,从而创建一个“带孔洞的参考”图像和对象参考图像。 “参考孔”图像中的孔可以通过绘画算法或纹理合成算法来填充,这取决于周围背景的复杂性。
    • 44. 发明授权
    • System and method for detection of radiation
    • 用于检测辐射的系统和方法
    • US08700359B2
    • 2014-04-15
    • US13177769
    • 2011-07-07
    • Kwong Wing AuBrian C. KraftheferEric Eastwold
    • Kwong Wing AuBrian C. KraftheferEric Eastwold
    • G06F15/00
    • G01T1/15
    • A system includes a count detector, a communication medium; and a processor coupled to the count detector. The processor continuously receives a plurality of pulses from the count detector. A pulse indicates a detection of a radiation unit emitted from a source material or a background. The processor determines a first period of time based on an expected range of speed of a carrier of the source material, and integrates the plurality of pulses over the first period of time, thereby yielding an integrated count associated with a time at a midpoint of the first period of time. The processor creates a continuous time series of count profiles from a plurality of integrated counts that are computed using a plurality of windows within the first period of time, and shifts each window over a second period of time. The second period of time is shorter than the first period of time. The processor estimates a background count from a history of the count profiles, computes an adaptive threshold based on the estimated background count, and detects the source material when consecutives of the integrated counts exceed the adaptive threshold.
    • 系统包括计数检测器,通信介质; 以及耦合到计数检测器的处理器。 处理器从计数检测器连续接收多个脉冲。 脉冲表示从源材料或背景发射的辐射单元的检测。 处理器基于源材料的载波的预期速度范围来确定第一时间段,并且在第一时间段内对多个脉冲进行积分,由此产生与在中间点处的时间相关联的积分计数 第一段时间。 处理器从在第一时间段内使用多个窗口计算的多个积分计数器创建连续的时间序列计数轮廓,并且在第二时间段内移动每个窗口。 第二个时间段比第一个时间段短。 处理器根据计数曲线的历史估计背景计数,基于估计的背景计数来计算自适应阈值,并且当积分计数的连续执行超过自适应阈值时检测源材料。
    • 49. 发明申请
    • AUTHENTICATION APPARATUS FOR VALUE DOCUMENTS
    • 价值文件的认证装置
    • US20110069174A1
    • 2011-03-24
    • US12877618
    • 2010-09-08
    • William Ross RapoportKwong Wing AuJames KaneCarsten Lau
    • William Ross RapoportKwong Wing AuJames KaneCarsten Lau
    • H04N7/18
    • G07D7/205G07D7/128
    • 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.
    • 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。
    • 50. 发明申请
    • AUTOMATED TARGET DETECTION AND RECOGNITION SYSTEM AND METHOD
    • 自动目标检测和识别系统及方法
    • US20110007940A1
    • 2011-01-13
    • US12499707
    • 2009-07-08
    • Rida HamzaKwong Wing AuSantosh Mathan
    • Rida HamzaKwong Wing AuSantosh Mathan
    • G06K9/00
    • G06K9/3241G06K9/0063G06K9/4609G06K9/629
    • 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.
    • 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。