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71. 发明授权

US08774450B2 Unauthorized text alteration prevention with contour following background patterns 有权
标题翻译：未经授权的文字改变预防与轮廓跟随背景图案
公开(公告)号：US08774450B2
公开(公告)日：2014-07-08
申请号：US13093130
申请日：2011-04-25
申请人： Zhigang Fan , Shen-Ge Wang
发明人： Zhigang Fan , Shen-Ge Wang
IPC分类号： G06K9/48
CPC分类号： G06T1/0028 , G06T2201/0051 , G06T2201/0062
摘要： Described herein is a level I (overt) feature for security printing intended to deter unauthorized modification of text documents. The exemplary method includes generating a textured background that follows the contour of the text it surrounds and is difficult to modify. The background patterns may be generated with a two-step procedure that first creates a smooth function and then modulates it to produce patterns with sharp contrast. Tampering will be deterred as visible artifacts will be created when text is altered. Compared to the levels II and III features, the exemplary method relies on human vision for detection and does not require any special tools and instruments. It can be used in applications where fast, simple and inexpensive inspection is essential, or combined with other technologies for enhancing overall effectiveness.
摘要翻译：这里描述的是用于防止非法修改文本文档的安全打印的I级（公开）特征。示例性方法包括生成跟随其围绕的文本轮廓的纹理背景，并且难以修改。背景图案可以通过两步过程产生，其首先创建平滑功能，然后调制它以产生具有鲜明对比度的图案。篡改将被阻止，因为当文字被改变时会产生可见的文物。与II和III级特征相比，该示例性方法依赖于人类视觉进行检测，并且不需要任何特殊的工具和仪器。它可用于快速，简单和廉价检查至关重要的应用，或与其他技术相结合，以提高整体效能。

72. 发明授权

US08754909B2 Method and system for utilizing transformation matrices to process rasterized image data 有权
标题翻译：利用变换矩阵处理光栅化图像数据的方法和系统
公开(公告)号：US08754909B2
公开(公告)日：2014-06-17
申请号：US12339148
申请日：2008-12-19
申请人： Zhigang Fan , Paul Roberts Conlon
发明人： Zhigang Fan , Paul Roberts Conlon
IPC分类号： G06K15/02 , G06F3/0485
CPC分类号： G09G5/36 , G06F3/14 , G06T11/60 , G09G2340/0407 , G09G2340/0492 , H04N1/387 , H04N1/3877
摘要： A method and system render rasterized data by receiving non-rasterized page description language data and a corresponding transformation matrix representing transformation operations to be performed. The non-rasterized page description language data is rasterizing to create rasterized data. The corresponding transformation matrix is decomposed into a plurality of individual transformation operation matrices and a discrete transformation operation value, from a corresponding individual transformation operation matrix, is generated for each transformation operation to be performed upon the rasterized data. The transformation operations are performed upon the rasterized data based upon the generated discrete transformation operation values.
摘要翻译：方法和系统通过接收非光栅化页面描述语言数据和表示要执行的变换操作的相应变换矩阵来渲染光栅化数据。非光栅化页面描述语言数据正在光栅化以创建光栅化数据。相应的变换矩阵被分解成多个单独的变换运算矩阵，并且对于对光栅化数据执行的每个变换操作生成来自相应的单独变换运算矩阵的离散变换运算值。基于所生成的离散变换操作值，对光栅化数据执行变换操作。

73. 发明授权

US08699089B2 Variable data image watermarking using infrared sequence structures in black separation 有权
标题翻译：在黑色分离中使用红外序列结构的可变数据图像水印
公开(公告)号：US08699089B2
公开(公告)日：2014-04-15
申请号：US13553338
申请日：2012-07-19
申请人： Reiner Eschbach , Zhigang Fan , Martin E. Hoover
发明人： Reiner Eschbach , Zhigang Fan , Martin E. Hoover
IPC分类号： H04N1/40
CPC分类号： G06T1/0028 , G06T2201/0051 , H04N1/32261 , H04N1/32309 , H04N1/32331 , H04N1/32352 , H04N2201/327
摘要： An image watermarking method includes a color transform on RGB image data to derive CMYK image data that define a constant K image. Variable infrared (IR) mark data defining an IR mark are received and a sparse two-dimensional pattern of black pixels is defined that corresponds to the variable IR data, e.g., using Gold codes or pseudorandom binary sequences. A watermarked black separation K″ is defined by embedding the sparse two-dimensional pattern into the constant K black separation K′ while maintaining local average levels. A watermarked image includes the watermarked black separation K″ in combination with the CMY separations of the constant K image. A decoding process includes using an IR microscope fitted with IR LEDs and an IR pass filter to capture an IR image, which is subjected to exposure correction, thresholding, and dilation operations to extract the two-dimensional pattern for subsequent correlation processing.
摘要翻译：图像水印方法包括对RGB图像数据进行颜色变换以导出定义常数K图像的CMYK图像数据。接收定义IR标记的可变红外（IR）标记数据，并且例如使用Gold码或伪随机二进制序列来定义对应于可变IR数据的稀疏二维图案的黑色像素。通过将稀疏二维图案嵌入常数K黑色分离K'同时维持局部平均水平来定义水印黑色分离K“。水印图像包括水印黑色分离K“与常数K图像的CMY分离的组合。解码过程包括使用装有IR LED的IR显微镜和IR通过滤光片来捕获经过曝光校正，阈值和扩张操作的IR图像，以提取二维图案用于随后的相关处理。

74. 发明授权

US08611608B2 Front seat vehicle occupancy detection via seat pattern recognition 有权
标题翻译：通过座椅模式识别进行前排座椅车辆占用检测
公开(公告)号：US08611608B2
公开(公告)日：2013-12-17
申请号：US13215401
申请日：2011-08-23
申请人： Zhigang Fan , Abu Saeed Islam , Peter Paul , Beilei Xu , Lalit Keshav Mestha
发明人： Zhigang Fan , Abu Saeed Islam , Peter Paul , Beilei Xu , Lalit Keshav Mestha
IPC分类号： G06K9/00
CPC分类号： G06K9/00234 , G06K9/00838 , G06K9/2018
摘要： What is disclosed is a system and method for determining whether a front seat in a motor vehicle is occupied based on seat pattern recognition. The present invention takes advantage of the observation that an unoccupied seat of a motor vehicle exhibits features which are distinguishable from an occupied seat. An unoccupied motor vehicle seat typically features long contiguous horizontal line segments and curve segments, and substantially uniform areas encompassed by these segments which are not present in an occupied seat. The present method provides a long horizontal edge test which uses location information within a defined window of the image, edge linking, softness of the edge, number of lines, line/curve fitting, and other techniques to locate horizontal edges in the image which define a seat, and a uniformity step which determines whether the area bounded by the horizontal edges is relatively uniform indicating an unoccupied seat.
摘要翻译：公开的是基于座椅图案识别来确定机动车辆中的前排座椅是否被占用的系统和方法。本发明利用了这样的观察结果：机动车辆的空闲座椅表现出与被占用座椅不同的特征。未占用的机动车辆座椅通常具有长的连续水平线段和曲线段，以及由这些段所包围的基本均匀的区域，其不存在于被占用的座椅中。本方法提供了一种长的水平边缘测试，它使用图像的定义窗口内的位置信息，边缘链接，边缘柔软度，线数，线/曲线拟合以及其他技术来定位图像中的水平边缘一个座位和一个均匀性步骤，确定由水平边缘限定的区域是否相对均匀，表示空闲的座位。

75. 发明申请

US20130330004A1 FINDING TEXT IN NATURAL SCENES 有权
标题翻译：在自然景观中寻找文字
公开(公告)号：US20130330004A1
公开(公告)日：2013-12-12
申请号：US13494173
申请日：2012-06-12
申请人： Raja Bala , Zhigang Fan , Hengzhou Ding , Jan P. Allebach , Charles A. Bouman
发明人： Raja Bala , Zhigang Fan , Hengzhou Ding , Jan P. Allebach , Charles A. Bouman
IPC分类号： G06K9/18 , G06K9/34
CPC分类号： G06K9/4604 , G06K9/3258 , G06K9/4638 , G06K2209/01 , G06T7/13 , G06T7/181 , G06T2207/10004
摘要： As set forth herein, systems and methods facilitate providing an efficient edge-detection and closed-contour based approach for finding text in natural scenes such as photographic images, digital, and/or electronic images, and the like. Edge information (e.g., edges of structures or objects in the images) is obtained via an edge detection technique. Edges from text characters form closed contours even in the presence of reasonable levels of noise. Closed contour linking and candidate text line formation are two additional features of the described approach. A candidate text line classifier is applied to further screen out false-positive text identifications. Candidate text regions for placement of text in the natural scene of the electronic image are highlighted and presented to a user.
摘要翻译：如本文所述，系统和方法有助于提供有效的边缘检测和基于闭合轮廓的方法，用于在诸如照相图像，数字和/或电子图像等的自然场景中查找文本。通过边缘检测技术获得边缘信息（例如，图像中的结构或对象的边缘）。即使存在合理的噪声水平，文本字符的边缘也会形成封闭的轮廓。闭合轮廓链接和候选文本线形成是所述方法的两个附加特征。应用候选文本行分类器进一步筛选出假阳性文本标识。用于在电子图像的自然场景中放置文本的候选文本区域被突出显示并呈现给用户。

76. 发明授权

US08587657B2 Determining a number of objects in an IR image 有权
标题翻译：确定IR图像中的一些对象
公开(公告)号：US08587657B2
公开(公告)日：2013-11-19
申请号：US13086006
申请日：2011-04-13
申请人： Yao Rong Wang , Zhigang Fan , Lalit Keshav Mestha
发明人： Yao Rong Wang , Zhigang Fan , Lalit Keshav Mestha
IPC分类号： H04N7/18 , H04N5/33 , G06K9/00
CPC分类号： G06K9/00369 , G06K2009/4657 , G06T7/11 , G06T2207/10048 , G06T2207/30242
摘要： What is disclosed is a novel system and method for determining the number of objects in an IR image obtained using an IR imaging system. In one embodiment, a total of N intensity values are collected for each pixel in an IR image using a IR imaging system comprising an IR detection device and an IR Illuminator. Intensity values are retrieved from a database which have been estimated for a plurality of known materials, such as skin and hair. A classification is determined for each pixel in the IR image using either a best fitting method of a reflectance, or a correlation method. Upon classification, a total number of objects in the IR image can be determined. The present system and method finds its intended uses in of real world applications such as, determining the number of occupants in a vehicle traveling in a HOV/HOT lane.
摘要翻译：所公开的是用于确定使用IR成像系统获得的IR图像中的对象数量的新颖系统和方法。在一个实施例中，使用包括IR检测装置和IR照明器的IR成像系统对IR图像中的每个像素收集总共N个强度值。从已经为多种已知材料（例如皮肤和头发）估计的数据库检索强度值。使用反射率的最佳拟合方法或相关方法来确定IR图像中的每个像素的分类。在分类时，可以确定IR图像中的对象的总数。本系统和方法在现实应用中找到其预期用途，例如确定在HOV / HOT车道中行驶的车辆中的乘客人数。

77. 发明申请

US20130286208A1 METHOD AND SYSTEM FOR AUTOMATICALLY DETECTING MULTI-OBJECT ANOMALIES UTILIZING JOINT SPARSE RECONSTRUCTION MODEL 有权
标题翻译：使用联合稀疏重建模型自动检测多对象异常的方法和系统
公开(公告)号：US20130286208A1
公开(公告)日：2013-10-31
申请号：US13476239
申请日：2012-05-21
申请人： Raja Bala , Zhigang Fan , Aaron Burry , Vishal Monga , Xuan Mo
发明人： Raja Bala , Zhigang Fan , Aaron Burry , Vishal Monga , Xuan Mo
IPC分类号： H04N7/18
CPC分类号： G06K9/00771 , G06K9/6249 , G08G1/0129 , H04N7/181
摘要： Methods and systems for automatically detecting multi-object anomalies at a traffic intersection utilizing a joint sparse reconstruction model. A first input video sequence at a first traffic location can be received and at least one normal event involving P moving objects (where P is greater than or equal to 1) can be identified in an offline training phase. The normal event in the first input video sequence can be assigned to at least one normal event class and a training dictionary suitable for joint sparse reconstruction can be built in the offline training phase. A second input video sequence captured at a second traffic location similar to the first traffic location can be received and at least one event involving P moving objects can be identified in an online detection phase.
摘要翻译：利用联合稀疏重建模型自动检测交通路口多物体异常的方法和系统。可以在离线训练阶段中识别在第一交通位置处的第一输入视频序列，并且可以在离线训练阶段识别涉及P个运动对象（其中P大于或等于1）的至少一个正常事件。可以将第一输入视频序列中的正常事件分配给至少一个正常事件类，并且可以在离线训练阶段中构建适合关联稀疏重建的训练字典。可以接收在类似于第一业务位置的第二业务位置处捕获的第二输入视频序列，并且可以在在线检测阶段中识别涉及P个移动对象的至少一个事件。

78. 发明申请

US20130279758A1 METHOD AND SYSTEM FOR ROBUST TILT ADJUSTMENT AND CROPPING OF LICENSE PLATE IMAGES 审中-公开
标题翻译：用于稳定倾斜调整的方法和系统和许可证板图像的合并
公开(公告)号：US20130279758A1
公开(公告)日：2013-10-24
申请号：US13453144
申请日：2012-04-23
申请人： Aaron Michael Burry , Claude Fillion , Vladimir Kozitsky , Zhigang Fan
发明人： Aaron Michael Burry , Claude Fillion , Vladimir Kozitsky , Zhigang Fan
IPC分类号： G06K9/46 , G06K9/00
CPC分类号： G06K9/3258 , G06K9/3275 , G06K9/342 , G06K2209/01
摘要： Methods, systems and processor-readable media for robust tilt adjustment and cropping of a license plate image. A vehicle image can be captured by an image-capturing unit and converted to a binary image utilizing a binarization approach. A long run within the binary image can then be removed and a morphological filtering can be applied to break an unwanted connection between characters due to a license plate frame and an image noise. A connected component (CC) within the image can be identified and screened based on a number of key metrics to remove a most likely candidate character connected component. A line-fit based iterative search process can then be performed for robust tilt removal and vertical cropping of the license plate image to obtain a tight bounding box on the license plate characters if sufficient candidate characters remain after the search process. Otherwise, the region of interest can be rejected.
摘要翻译：方法，系统和处理器可读介质，用于强大的倾斜调整和车牌图像的裁剪。车辆图像可以由图像捕获单元捕获并且使用二值化方法被转换成二值图像。然后可以去除二进制图像中的长时间，并且可以应用形态滤波来打破由于牌照框架和图像噪声引起的字符之间的不期望的连接。可以基于多个关键指标来识别和屏蔽图像内的连接分量（CC），以消除最可能的候选字符连接分量。然后可以执行基于线拟合的迭代搜索过程，用于强制倾斜移除和车牌图像的垂直裁剪，以便在搜索过程之后剩余足够的候选人物时，在车牌字符上获得紧密的边界框。否则，可以拒绝感兴趣的区域。

79. 发明申请

US20130266185A1 VIDEO-BASED SYSTEM AND METHOD FOR DETECTING EXCLUSION ZONE INFRACTIONS 有权
标题翻译：基于视频的系统和检测排除区域的方法
公开(公告)号：US20130266185A1
公开(公告)日：2013-10-10
申请号：US13441253
申请日：2012-04-06
申请人： Orhan Bulan , Yao Rong Wang , Robert P. Loce , Edgar A. Bernal , Zhigang Fan , Graham S. Pennington , David P. Cummins
发明人： Orhan Bulan , Yao Rong Wang , Robert P. Loce , Edgar A. Bernal , Zhigang Fan , Graham S. Pennington , David P. Cummins
IPC分类号： G06K9/00
CPC分类号： G06K9/00771 , G06K9/3233
摘要： A method for determining a parking violation includes receiving video data as a sequence of frames provided by a camera. The method includes defining a location of an exclusion zone in the video data. The method includes detecting a vehicle located in the defined exclusion zone. The detecting includes determining a background in an initial frame of the video data and determining a background in a select frame by applying a predetermined updating process. The detecting includes subtracting the background of the select frame from the initial frame to obtain an image difference. The detecting includes classifying the pixels in the image difference as foreground or background pixels and classifying the pixels in the foreground image as vehicle or non-vehicle pixels. The method includes determining a duration that the detected vehicle is in the exclusion zone based on a number of the sequence of frames including the detected vehicle.
摘要翻译：用于确定停车违规的方法包括接收视频数据作为由相机提供的帧序列。该方法包括在视频数据中定义排除区的位置。该方法包括检测位于限定的禁区中的车辆。检测包括确定视频数据的初始帧中的背景，并通过应用预定的更新过程来确定选择帧中的背景。检测包括从初始帧中减去选择帧的背景以获得图像差异。检测包括将图像差异中的像素分类为前景或背景像素，并将前景图像中的像素分类为车辆或非车辆像素。该方法包括基于包括检测到的车辆的帧序列的数量来确定检测到的车辆在排除区域中的持续时间。

80. 发明申请

US20130228629A1 SYSTEM AND METHOD FOR EMBEDDING MACHINE-READABLE CODES IN COMBINATION WITH OTHER IMAGES SUCH AS LOGOS 有权
标题翻译：用于嵌入机器可读代码与其他图像组合的系统和方法，如LOGOS
公开(公告)号：US20130228629A1
公开(公告)日：2013-09-05
申请号：US13552170
申请日：2012-07-18
申请人： Zhigang Fan , Yonghui Zhao , Hengzhou Ding
发明人： Zhigang Fan , Yonghui Zhao , Hengzhou Ding
IPC分类号： G06K19/06
CPC分类号： G06K19/06103
摘要： A process for embedding a barcode into an image generates an extended barcode that includes a number of copies of the barcode. The extended barcode is embedded into the original image and a textured image is generated. A barcode region is selected that includes a machine-readable copy of the barcode. A transition region is selected that includes a set of pixels that are within a predetermined distance from the barcode region. The textured image is combined with the original image to produce the output image based on the barcode and transition regions.
摘要翻译：将条形码嵌入到图像中的处理产生包括条形码数量的扩展条形码。将扩展的条形码嵌入到原始图像中，并生成纹理图像。选择包括条形码的机器可读副本的条形码区域。选择包括与条形码区域在预定距离内的一组像素的过渡区域。纹理图像与原始图像组合，以基于条形码和过渡区域产生输出图像。

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