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公开(公告)号：US08488881B2
公开(公告)日：2013-07-16
申请号：US12844340
申请日：2010-07-27
IPC分类号： G06T7/0081
CPC分类号： G06T7/0079 , G06K9/34 , G06T7/11 , G06T7/136 , G06T2207/10024 , G06T2207/20012 , G06T2207/20021
摘要： Techniques are provided. The techniques include capturing an image of an object at a self-checkout, dividing the image into one or more blocks, computing one or more features of the image, computing a confidence value for each of the one or more blocks, wherein computing a confidence value for each of the one or more blocks comprises using a minimum feature distance from one or more reference background blocks, and eliminating one or more blocks from consideration via use of an adaptive threshold computed on the confidence value for each of the one or more blocks, wherein the one or more blocks remaining map to a region of the image containing the object.
摘要翻译： 提供技术。 这些技术包括在自检结果中捕获对象的图像，将图像划分成一个或多个块，计算图像的一个或多个特征，计算一个或多个块中的每一个的置信度值，其中计算置信度 一个或多个块中的每个块的值包括使用来自一个或多个参考背景块的最小特征距离，以及通过使用针对所述一个或多个块中的每个块的置信度值计算的自适应阈值来消除考虑中的一个或多个块 ，其中所述一个或多个块保持映射到包含所述对象的图像的区域。
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12.发明申请公开(公告)号：US20130176435A1
公开(公告)日：2013-07-11
申请号：US13348326
申请日：2012-01-11
申请人： Norman HAAS , Ying LI , Charles A. OTTO , Sharathchandra PANKANTI
发明人： Norman HAAS , Ying LI , Charles A. OTTO , Sharathchandra PANKANTI
IPC分类号： H04N7/18
CPC分类号： H04N7/18 , B61K9/08 , B61L23/044 , B61L23/045 , B61L23/047 , B61L23/048 , B61L27/0088 , G01B11/245 , G06K9/209 , G06K2209/19
摘要： An imaging system includes an image capturing device and a plurality of reflective devices. The image capturing device is configured to receive a plurality of images reflected by the plurality of reflective devices. Responsive to receiving the plurality of images, the image capturing device is further configured to capture within a single frame at least a first image corresponding to a first side of a first railroad track rail, a second image corresponding to a second side of the first railroad track rail, a third image corresponding to a first side of a second railroad track rail, and a fourth image corresponding to a second side of the second railroad track rail.
摘要翻译： 成像系统包括图像捕获装置和多个反射装置。 图像捕获装置被配置为接收由多个反射装置反射的多个图像。 响应于接收多个图像，图像捕获装置还被配置为在单个帧内捕获与第一铁路轨道的第一侧对应的至少第一图像，对应于第一铁路的第二侧的第二图像 轨道轨道，对应于第二轨道轨道的第一侧的第三图像，以及对应于第二轨道轨道的第二侧的第四图像。
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公开(公告)号：US20130011016A1
公开(公告)日：2013-01-10
申请号：US13614760
申请日：2012-09-13
申请人： Norman HAAS , Ying LI , Sharathchandra PANKANTI
发明人： Norman HAAS , Ying LI , Sharathchandra PANKANTI
IPC分类号： G06K9/46
CPC分类号： G06K9/00818 , G06K9/6257
摘要： A method to detect objects in a digital image. At least one image representing at least one frame of a video sequence is received. A given color channel of the image is extracted. At least one blob that stands out from a background of the given color channel is identified. One or more features are extracted from the blob. The one or more features are provided to a plurality of pre-learned object models each including a set of pre-defined features associated with a pre-defined blob type. The one or more features are compared to the set of pre-defined features. The blob is determined to be of a type that substantially matches a pre-defined blob type associated with one of the pre-learned object models. At least a location of an object is visually indicated within the image that corresponds to the blob.
摘要翻译： 一种检测数字图像中的对象的方法。 接收表示视频序列的至少一帧的至少一个图像。 提取图像的给定颜色通道。 识别从给定颜色通道的背景中突出出的至少一个斑点。 从斑点中提取一个或多个特征。 将一个或多个特征提供给多个预先学习的对象模型，每个预先学习的对象模型包括与预定义的斑点类型相关联的一组预定义特征。 将一个或多个特征与一组预定义特征进行比较。 blob被确定为与预先识别的对象模型之一相关联的预定义blob类型的类型。 至少一个对象的位置在对应于斑点的图像内被目视指示。
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公开(公告)号：US08289392B2
公开(公告)日：2012-10-16
申请号：US12166732
申请日：2008-07-02
申请人： Andrew William Senior , Sharathchandra Pankanti , Arun Hampapur , Lisa Marie Brown , Ying-Li Tian
发明人： Andrew William Senior , Sharathchandra Pankanti , Arun Hampapur , Lisa Marie Brown , Ying-Li Tian
IPC分类号： H04N7/18
CPC分类号： H04N5/232 , H04N5/23216 , H04N5/247 , H04N7/18
摘要： A system for automatically acquiring high-resolution images by steering a pan-tilt-zoom camera at targets detected in a fixed camera view is provided. The system uses automatic or manual calibration between multiple cameras. Using automatic calibration, the homography between the cameras in a home position is estimated together with the effects of pan and tilt controls and the expected height of a person in the image. These calibrations are chained together to steer a slave camera. The manual calibration scheme steers a camera to the desired region of interest and calculates the pan, tile and zoom parameters accordingly.
摘要翻译： 提供了一种用于通过将俯仰变焦相机瞄准在固定摄像机视图中检测到的目标来自动获取高分辨率图像的系统。 该系统使用多台摄像机之间的自动或手动校准。 使用自动校准，估计初始位置的摄像机之间的单应性以及平移和倾斜控制的影响以及人物在图像中的预期高度。 这些校准被链接在一起以引导从照相机。 手动校准方案将相机引导到所需的感兴趣区域，并相应地计算平移，平铺和缩放参数。
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公开(公告)号：US07796154B2
公开(公告)日：2010-09-14
申请号：US11074383
申请日：2005-03-07
申请人： Andrew William Senior , Sharathchandra Pankanti , Arun Hampapur , Lisa Marie Brown , Ying-Li Tian
发明人： Andrew William Senior , Sharathchandra Pankanti , Arun Hampapur , Lisa Marie Brown , Ying-Li Tian
IPC分类号： H04N7/18
CPC分类号： H04N5/232 , H04N5/23216 , H04N5/247 , H04N7/18
摘要： A system for automatically acquiring high-resolution images by steering a pan-tilt-zoom camera at targets detected in a fixed camera view is provided. The system uses automatic or manual calibration between multiple cameras. Using automatic calibration, the homography between the cameras in a home position is estimated together with the effects of pan and tilt controls and the expected height of a person in the image. These calibrations are chained together to steer a slave camera. The manual calibration scheme steers a camera to the desired region of interest and calculates the pan, tile and zoom parameters accordingly.
摘要翻译： 提供了一种用于通过将俯仰变焦相机瞄准在固定摄像机视图中检测到的目标来自动获取高分辨率图像的系统。 该系统使用多台摄像机之间的自动或手动校准。 使用自动校准，估计初始位置的摄像机之间的单应性以及平移和倾斜控制的效果以及人物在图像中的预期高度。 这些校准被链接在一起以引导从照相机。 手动校准方案将相机引导到所需的感兴趣区域，并相应地计算平移，平铺和缩放参数。
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公开(公告)号：US20080259179A1
公开(公告)日：2008-10-23
申请号：US12166732
申请日：2008-07-02
申请人： Andrew William Senior , Sharathchandra Pankanti , Arun Hampapur , Lisa Marie Brown , Ying-Li Tian
发明人： Andrew William Senior , Sharathchandra Pankanti , Arun Hampapur , Lisa Marie Brown , Ying-Li Tian
CPC分类号： H04N5/232 , H04N5/23216 , H04N5/247 , H04N7/18
摘要： A system for automatically acquiring high-resolution images by steering a pan-tilt-zoom camera at targets detected in a fixed camera view is provided. The system uses automatic or manual calibration between multiple cameras. Using automatic calibration, the homography between the cameras in a home position is estimated together with the effects of pan and tilt controls and the expected height of a person in the image. These calibrations are chained together to steer a slave camera. The manual calibration scheme steers a camera to the desired region of interest and calculates the pan, tile and zoom parameters accordingly.
摘要翻译： 提供了一种用于通过将俯仰变焦相机瞄准在固定摄像机视图中检测到的目标来自动获取高分辨率图像的系统。 该系统使用多台摄像机之间的自动或手动校准。 使用自动校准，估计初始位置的摄像机之间的单应性以及平移和倾斜控制的效果以及人物在图像中的预期高度。 这些校准被链接在一起以引导从照相机。 手动校准方案将相机引导到所需的感兴趣区域，并相应地计算平移，平铺和缩放参数。
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17.发明授权Method for biometric-based authentication in wireless communication for access control 有权用于访问控制的无线通信中的基于生物特征的认证的方法公开(公告)号：US06819219B1
公开(公告)日：2004-11-16
申请号：US09689598
申请日：2000-10-13
申请人： Rudolf Maarten Bolle , Sharon Louise Nunes , Sharathchandra Pankanti , Nalini Kanta Ratha , Barton Allen Smith , Thomas Guthrie Zimmerman
发明人： Rudolf Maarten Bolle , Sharon Louise Nunes , Sharathchandra Pankanti , Nalini Kanta Ratha , Barton Allen Smith , Thomas Guthrie Zimmerman
IPC分类号： G05B1900
CPC分类号： H04L63/0853 , G05B2219/24162 , G06F21/32 , G06F21/35 , G06Q20/341 , G06Q20/40145 , G07C9/00087 , G07C2009/00095 , G07F7/1008 , H04L63/0861 , H04W12/06
摘要： Smart cards systems that are utilized in biometric authentication are slow in processing and have the cards themselves have the added disadvantage of being misplaced or lost. Moreover, storing biometric data (on a database) over a network poses security issues that in extreme instances can be compromised. Significant security can be achieved if the biometric templates are stored locally in a portable device. A user can use the portable device to either transmit wirelessly the stored biometric for authentication purposes, or a user can locally measure a biometric using the portable device and match it against a biometric which is also stored locally (in the portable device).
摘要翻译： 在生物认证中使用的智能卡系统处理速度较慢，并且卡本身具有错位或丢失的附加缺点。 此外，通过网络存储生物特征数据（在数据库上）会造成在极端情况下可能受到威胁的安全问题。 如果生物特征模板本地存储在便携式设备中，则可以实现显着的安全性。 用户可以使用便携式设备以无线方式传送存储的生物特征用于认证目的，或者用户可以使用便携式设备本地测量生物特征，并使其与本地（在便携式设备中）存储的生物特征匹配。
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公开(公告)号：US09147260B2
公开(公告)日：2015-09-29
申请号：US12972836
申请日：2010-12-20
CPC分类号： G06T7/207 , G03B15/16 , G06T7/215 , G06T7/223 , G06T7/246 , G06T7/248 , G06T7/254 , G06T7/277 , G06T2207/10016 , G06T2207/20076 , G06T2207/30232 , G06T2207/30241
摘要： A system and computer program product for performing visual surveillance of one or more moving objects include registering one or more images captured by one or more cameras, wherein registering the one or more images comprises region-based registration of the one or more images in two or more adjacent frames, performing motion segmentation of the one or more images to detect one or more moving objects and one or more background regions in the one or more images, and tracking the one or more moving objects to facilitate visual surveillance of the one or more moving objects.
摘要翻译： 用于执行一个或多个移动物体的视觉监视的系统和计算机程序产品包括登记由一个或多个照相机捕获的一个或多个图像，其中登记一个或多个图像包括基于区域的一个或多个图像的两个或多个图像的注册， 执行所述一个或多个图像的运动分割以检测所述一个或多个图像中的一个或多个移动物体和一个或多个背景区域，以及跟踪所述一个或多个移动物体以促进所述一个或多个图像的视觉监视 移动物体
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公开(公告)号：US09036865B2
公开(公告)日：2015-05-19
申请号：US13612345
申请日：2012-09-12
申请人： Norman Haas , Ying Li , Charles A. Otto , Sharathchandra Pankanti , Yuichi Fujiji , Hoang Trinh
发明人： Norman Haas , Ying Li , Charles A. Otto , Sharathchandra Pankanti , Yuichi Fujiji , Hoang Trinh
CPC分类号： G06T7/0044 , G06T7/74 , G06T2207/10016 , G06T2207/30108 , G06T2207/30252
摘要： A global position of an observed object is determined by obtaining a first global position of an observed object with at least one positioning device. A determination is made as to whether a set of stored visual characteristic information of at least one landmark matches a visual characteristic information set obtained from at least one captured image comprising a scene associated with the observed object. In response to the set of stored visual characteristic information matching the obtained visual characteristic information set, a second global position of the observed object is determined based on a set of stored location information associated with the at least one landmark and the first global position.
摘要翻译： 通过利用至少一个定位装置获得观察对象的第一全局位置来确定观察对象的全局位置。 确定至少一个地标的一组存储的视觉特征信息是否与从包括与观察对象相关联的场景的至少一个拍摄图像获得的视觉特征信息集匹配。 响应于与所获得的视觉特征信息集匹配的所存储的视觉特征信息的集合，基于与至少一个地标和第一全局位置相关联的一组存储的位置信息来确定观察对象的第二全局位置。
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20.发明授权Object recognition using Haar features and histograms of oriented gradients 失效使用Haar特征的对象识别和定向梯度的直方图公开(公告)号：US08447139B2
公开(公告)日：2013-05-21
申请号：US13085985
申请日：2011-04-13
申请人： Weiguang Guan , Norman Haas , Ying Li , Sharathchandra Pankanti
发明人： Weiguang Guan , Norman Haas , Ying Li , Sharathchandra Pankanti
CPC分类号： G06K9/00818 , G06K9/6257
摘要： A system and method to detect objects in a digital image. At least one image representing at least one frame of a video sequence is received. A sliding window of different window sizes at different locations is placed in the image. A cascaded classifier including a plurality of increasingly accurate layers is applied to each window size and each location. Each layer includes a plurality of classifiers. An area of the image within a current sliding window is evaluated using one or more weak classifiers in the plurality of classifiers based on at least one of Haar features and Histograms of Oriented Gradients features. An output of each weak classifier is a weak decision as to whether the area of the image includes an instance of an object of a desired object type. A location of the zero or more images associated with the desired object type is identified.
摘要翻译： 一种用于检测数字图像中的对象的系统和方法。 接收表示视频序列的至少一帧的至少一个图像。 在不同位置的不同窗口大小的滑动窗口被放置在图像中。 包括多个越来越精确的层的级联分类器被应用于每个窗口大小和每个位置。 每个层包括多个分类器。 基于Haar特征和定向梯度特征的至少一个，使用多个分类器中的一个或多个弱分类器来评估当前滑动窗口内的图像的区域。 每个弱分类器的输出是关于图像的区域是否包括期望对象类型的对象的实例的弱决定。 识别与所需对象类型相关联的零个或多个图像的位置。
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