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公开(公告)号：US07659922B2
公开(公告)日：2010-02-09
申请号：US10460240
申请日：2003-06-13
申请人： David Black , Jeremy Craig Wilson
发明人： David Black , Jeremy Craig Wilson
IPC分类号： H04N7/18
CPC分类号： G08B13/1968 , G08B13/19656 , H04N7/181
摘要： The invention consists of a system and method for transferring video images from video sources to video receivers using a video server as an intermediary. The video server creates a list of all the requests from the video receivers for a video image from a video source. The video server requests the video image from the video source and then sends the video image to each video receiver on the list. The video source is only required to send one image for any number of requests from video receivers and the video sources and video receivers have no direct connection to each other. The load of handling many video sources and many video receivers can be distributed amongst multiple video servers.
摘要翻译： 本发明包括一种使用视频服务器作为中介将视频图像从视频源传送到视频接收机的系统和方法。 视频服务器为来自视频源的视频图像创建来自视频接收器的所有请求的列表。 视频服务器从视频源请求视频图像，然后将视频图像发送到列表中的每个视频接收器。 视频源仅需要从视频接收器发送任何数量的请求的一个图像，并且视频源和视频接收器彼此之间没有直接的连接。 处理许多视频源和许多视频接收器的负载可以分布在多个视频服务器之间。
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公开(公告)号：US07907753B2
公开(公告)日：2011-03-15
申请号：US10092883
申请日：2002-03-08
申请人： Jeremy Craig Wilson , David Black
发明人： Jeremy Craig Wilson , David Black
CPC分类号： G06K19/08 , G07C9/00079 , G07C9/00111 , H04N7/181
摘要： A video camera is located at a secure access point and is connected to a computer network. The camera is used as a conventional security camera and also provides automated assistance with access control. When an identity badge is presented to the camera by a person requesting access to the facility, a computer that is monitoring the camera recognizes a bar code or other symbols on the badge and accesses a database to locate information associated with that identity badge. This information is then used to determine if the person should be granted access.
摘要翻译： 视频摄像机位于安全接入点，并连接到计算机网络。 该相机用作传统的安全摄像机，并提供自动化辅助访问控制。 当请求访问该设施的人员向身份证件呈现身份证件时，正在监控相机的计算机识别出徽章上的条形码或其他符号，并访问数据库以查找与该身份证件相关联的信息。 然后使用此信息来确定该人是否应被授予访问权限。
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3.发明申请VIDEO STABILIZATION IN REAL-TIME USING COMPUTATIONALLY EFFICIENT CORNER DETECTION AND CORRESPONDENCE 有权视频稳定性实时使用计算效率高的角膜检测和相关性公开(公告)号：US20100157070A1
公开(公告)日：2010-06-24
申请号：US12341630
申请日：2008-12-22
IPC分类号： H04N5/228
CPC分类号： H04N5/23248 , H04N5/23254 , H04N5/23261 , H04N5/23267
摘要： Real-time image stabilization using computationally efficient corner detection and correspondence is provided. The real-time image stabilization performs a scene learning process on a first frame of an input video to obtain reference features and a detection threshold value. The presence of jitter is determined in a current frame of the input video by comparing features of the current frame against the reference features using the detection threshold value. If the current frame is found to be unstable, corner points are obtained from the current frame. The obtained corner points are matched against reference corner points of the reference features. If the number of matched corner points is not less than a match point threshold value, the current frame is modeled using random sample consensus. The current frame is corrected to compensate for the jitter based on the results of the modeling.
摘要翻译： 提供了使用计算效率高的拐角检测和对应关系的实时图像稳定。 实时图像稳定在输入视频的第一帧上执行场景学习处理，以获得参考特征和检测阈值。 通过使用检测阈值比较当前帧与参考特征的特征，在输入视频的当前帧中确定抖动的存在。 如果发现当前帧不稳定，则从当前帧获得角点。 获得的角点与参考特征的参考角点相匹配。 如果匹配角点的数量不小于匹配点阈值，则使用随机样本共享来建模当前帧。 校正当前帧以根据建模结果补偿抖动。
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4.发明授权Gaussian mixture model based illumination normalization for global enhancement 有权基于高斯混合模型的照明归一化进行全局增强公开(公告)号：US08150202B2
公开(公告)日：2012-04-03
申请号：US12164868
申请日：2008-06-30
IPC分类号： G06K9/38
摘要： A method is presented for enhancing an image from an initial image, comprising computing a first luminance level frequency distribution corresponding to plurality of pixel constructing said initial image, representing said first luminance level frequency distribution as a resultant of Gaussian model mixtures to assess relative utilization of overall luminance level across said initial image, computing a desired luminance level frequency distribution as a function of the relative utilization, computing a transfer function to adjust the first luminance level frequency distribution to an enhanced luminance level as a function of desired level frequency distribution estimation, and applying said transfer function globally to said initial image to provide an enhanced image is. The first luminance level can be adapted to be linearized in a logarithmic form. In one embodiment, the model comprises one or more Gaussian functions. The initial image can be a background image estimated from a sequence of images.
摘要翻译： 提出一种用于增强来自初始图像的图像的方法，包括计算对应于构成所述初始图像的多个像素的第一亮度级频率分布，表示所述第一亮度级频率分布作为高斯模型混合的结果，以评估相对利用率 在所述初始图像上的整体亮度水平，根据相对利用率计算期望的亮度级频率分布，计算传递函数，以将第一亮度级频率分布调整为增强的亮度级，作为期望的电平频率分布估计的函数， 以及将所述传递函数全局地应用于所述初始图像以提供增强的图像。 第一亮度水平可以适应于以对数形式线性化。 在一个实施例中，该模型包括一个或多个高斯函数。 初始图像可以是从图像序列估计的背景图像。
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5.发明授权Video stabilization in real-time using computationally efficient corner detection and correspondence 有权视频稳定实时使用计算效率高的角点检测和对应公开(公告)号：US08054881B2
公开(公告)日：2011-11-08
申请号：US12341630
申请日：2008-12-22
IPC分类号： H04N7/12
CPC分类号： H04N5/23248 , H04N5/23254 , H04N5/23261 , H04N5/23267
摘要： Real-time image stabilization using computationally efficient corner detection and correspondence is provided. The real-time image stabilization performs a scene learning process on a first frame of an input video to obtain reference features and a detection threshold value. The presence of jitter is determined in a current frame of the input video by comparing features of the current frame against the reference features using the detection threshold value. If the current frame is found to be unstable, corner points are obtained from the current frame. The obtained corner points are matched against reference corner points of the reference features. If the number of matched corner points is not less than a match point threshold value, the current frame is modeled using random sample consensus. The current frame is corrected to compensate for the jitter based on the results of the modeling.
摘要翻译： 提供了使用计算效率高的拐角检测和对应关系的实时图像稳定。 实时图像稳定在输入视频的第一帧上执行场景学习处理，以获得参考特征和检测阈值。 通过使用检测阈值比较当前帧与参考特征的特征，在输入视频的当前帧中确定抖动的存在。 如果发现当前帧不稳定，则从当前帧获得角点。 获得的角点与参考特征的参考角点相匹配。 如果匹配角点的数量不小于匹配点阈值，则使用随机样本共享来建模当前帧。 校正当前帧以根据建模结果补偿抖动。
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6.发明申请公开(公告)号：US20100141767A1
公开(公告)日：2010-06-10
申请号：US12331741
申请日：2008-12-10
IPC分类号： H04N7/18
CPC分类号： H04N7/181 , G08B13/19643
摘要： A method for capturing surveillance images includes of a secured area has a first camera with a first field of view and a second camera with a second field of view. An optical center is determined for the second field of view. A magnification ratio is determined between a target located in the first field of view relative to the second field of view. A pan and tilt model is determined that provides a relationship between a first camera coordinates and pan and tilt values to position the second camera at the optical center. A target is captured in the first field of view and the second camera is controlled to record the target in the second field of view with the second field of view being an enhanced view relative to the first field of view.
摘要翻译： 一种用于捕获监视图像的方法，包括：安全区域具有具有第一视野的第一相机和具有第二视场的第二相机。 确定第二视野的光学中心。 在位于第一视野内的目标相对于第二视场之间确定放大率。 确定平移和倾斜模型，其提供第一相机坐标和平移和倾斜值之间的关系，以将第二相机定位在光学中心处。 在第一视野中捕获目标，并且控制第二相机以在第二视场中记录目标，而第二视场是相对于第一视场的增强视图。
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公开(公告)号：US06728862B1
公开(公告)日：2004-04-27
申请号：US09576871
申请日：2000-05-22
申请人： Jeremy Craig Wilson
发明人： Jeremy Craig Wilson
IPC分类号： G06F1580
CPC分类号： G06F9/3824 , G06F9/30032 , G06F9/30036 , G06F9/30072 , G06F9/3851 , G06F9/3885 , G06F9/3887 , G06F9/3889 , G06F15/8007
摘要： An array of processor elements has multiple instruction streams and multiple data streams broadcast to all of the processor elements. The processor elements are each connected to multiple neighbouring processor elements within a cruciate neighbourhood. The architecture is suitable for use in fine-grained applications. The array may have a processor element for each pixel of an image. The array is preferably provided on a single integrated circuit having 10,000 or more processor elements.
摘要翻译： 一组处理器元件具有广播到所有处理器元件的多个指令流和多个数据流。 处理器元件各自连接到十字路口附近的多个相邻处理器元件。 该架构适用于细粒度应用。 阵列可以具有用于图像的每个像素的处理器元件。 阵列优选地设置在具有10,000个或更多个处理器元件的单个集成电路上。
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8.发明授权公开(公告)号：US08488001B2
公开(公告)日：2013-07-16
申请号：US12331741
申请日：2008-12-10
IPC分类号： H04N7/18
CPC分类号： H04N7/181 , G08B13/19643
摘要： A method for capturing surveillance images includes of a secured area has a first camera with a first field of view and a second camera with a second field of view. An optical center is determined for the second field of view. A magnification ratio is determined between a target located in the first field of view relative to the second field of view. A pan and tilt model is determined that provides a relationship between a first camera coordinates and pan and tilt values to position the second camera at the optical center. A target is captured in the first field of view and the second camera is controlled to record the target in the second field of view with the second field of view being an enhanced view relative to the first field of view.
摘要翻译： 一种用于捕获监视图像的方法，包括：安全区域具有具有第一视野的第一相机和具有第二视场的第二相机。 确定第二视野的光学中心。 在位于第一视野内的目标相对于第二视场之间确定放大率。 确定平移和倾斜模型，其提供第一相机坐标和平移和倾斜值之间的关系，以将第二相机定位在光学中心处。 在第一视野中捕获目标，并且控制第二相机以在第二视场中记录目标，而第二视场是相对于第一视场的增强视图。
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公开(公告)号：US08149336B2
公开(公告)日：2012-04-03
申请号：US12116769
申请日：2008-05-07
IPC分类号： H04N5/00
CPC分类号： H04N9/045 , G06T5/002 , G06T5/20 , G06T5/50 , G06T2207/10016 , G06T2207/10024 , G06T2207/20182 , G06T2207/20192 , H04N5/21 , H04N5/357 , H04N9/646
摘要： A system and method for filtering video noise is provided. Video generated under low lighting conditions is susceptible to increased noise and graininess, which increases the required storage space required for recording the noisy video. The provided system and method for filtering video noise reduces noise in low-light video by estimating the noise profile associated with at least one video frame; discriminating between chrominance noise and luminance noise in said noise profile; applying predetermined filter criteria to said chrominance noise to estimate the parameters for luminance noise filtering; applying said luminance noise filtering parameters to filter the luminance noise; and generating a first filtered output of a frame by logical combination of outputs obtained from luminance noise filter and chrominance noise filter.
摘要翻译： 提供了一种滤波视频噪声的系统和方法。 在低照明条件下产生的视频容易受到噪音和颗粒度的增加，从而增加了录制嘈杂视频所需的存储空间。 提供的用于滤波视频噪声的系统和方法通过估计与至少一个视频帧相关联的噪声分布来降低低光视频中的噪声; 鉴别所述噪声分布中的色度噪声和亮度噪声; 对所述色度噪声应用预定的滤波器标准以估计亮度噪声滤波的参数; 应用所述亮度噪声滤波参数来过滤亮度噪声; 以及通过从亮度噪声滤波器和色度噪声滤波器获得的输出的逻辑组合来产生帧的第一滤波输出。
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10.发明申请GAUSSIAN MIXTURE MODEL BASED ILLUMINATION NORMALIZATION FOR GLOBAL ENHANCEMENT 有权高斯混合模型基于照明的全球增强正规化公开(公告)号：US20110123133A1
公开(公告)日：2011-05-26
申请号：US12164868
申请日：2008-06-30
IPC分类号： G06T5/00
摘要： A method is presented for enhancing an image from an initial image, comprising computing a first luminance level frequency distribution corresponding to plurality of pixel constructing said initial image, representing said first luminance level frequency distribution as a resultant of Gaussian model mixtures to assess relative utilization of overall luminance level across said initial image, computing a desired luminance level frequency distribution as a function of the relative utilization, computing a transfer function to adjust the first luminance level frequency distribution to an enhanced luminance level as a function of desired level frequency distribution estimation, and applying said transfer function globally to said initial image to provide an enhanced image is. The first luminance level can be adapted to be linearized in a logarithmic form. In one embodiment, the model comprises one or more Gaussian functions. The initial image can be a background image estimated from a sequence of images.
摘要翻译： 提出一种用于增强来自初始图像的图像的方法，包括计算对应于构成所述初始图像的多个像素的第一亮度级频率分布，表示所述第一亮度级频率分布作为高斯模型混合的结果，以评估相对利用率 在所述初始图像上的整体亮度水平，根据相对利用率计算期望的亮度级频率分布，计算传递函数，以将第一亮度级频率分布调整为增强的亮度级，作为期望的电平频率分布估计的函数， 以及将所述传递函数全局地应用于所述初始图像以提供增强的图像。 第一亮度水平可以适应于以对数形式线性化。 在一个实施例中，该模型包括一个或多个高斯函数。 初始图像可以是从图像序列估计的背景图像。
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