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公开(公告)号：US20120327246A1
公开(公告)日：2012-12-27
申请号：US13602973
申请日：2012-09-04
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：US20120027297A1
公开(公告)日：2012-02-02
申请号：US12844340
申请日：2010-07-27
IPC分类号： G06K9/34
CPC分类号： G06T7/0079 , G06K9/34 , G06T7/11 , G06T7/136 , G06T2207/10024 , G06T2207/20012 , G06T2207/20021
摘要： Techniques for segmenting an object at a self-checkout 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 backgound 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： 提供了在自检结果中分割对象的技术。 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，并且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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公开(公告)号：US20060159308A1
公开(公告)日：2006-07-20
申请号：US11039497
申请日：2005-01-20
CPC分类号： H04N7/185 , G06T3/4038 , G06T7/246 , G08B13/19608 , G08B13/19663
摘要： A novel system and method of treating the output of moving cameras, in particular ones that enable the application of conventional “static camera” algorithms, e.g., to enable the continuous vigilance of computer surveillance technology to be applied to moving cameras that cover a wide area. According to the invention, a single camera is deployed to cover an area that might require many static cameras and a corresponding number of processing units. A novel system for processing the main video sufficiently enables long-term change detection, particularly the observation that a static object has been moved or has appeared, for instance detecting the parking and departure of vehicles in a parking lot, the arrival of trains in stations, delivery of goods, arrival and dispersal of people, or any other application.
摘要翻译： 一种处理移动摄像机的输出的新型系统和方法，特别是能够应用常规“静态摄像机”算法的系统和方法，例如，能够将计算机监视技术的持续警觉性应用于覆盖广域的移动摄像机 。 根据本发明，单个相机被部署以覆盖可能需要许多静态相机和相应数量的处理单元的区域。 用于处理主视频的新型系统充分实现长期变化检测，特别是静态物体已被移动或已经出现的观察，例如检测停车场中车辆的停车和离开，列车到达车站 货物的运送，人员的到达和分散，或任何其他的应用程序。
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4.发明申请公开(公告)号：US20050229007A1
公开(公告)日：2005-10-13
申请号：US10818317
申请日：2004-04-06
CPC分类号： G06F21/32 , G06K9/00 , G06K9/00885
摘要： A method and system is provided to provide enrollment of biometric data from individuals without the need for the enrollees to travel to a central location. The system and method provides for optionally detecting multiple types of biometric data, for example, fingerprints, facial scan, visual scan, iris scan, voice scan, or the like, to be captured at the point of enrollee use. During the biometric capture process, the biometric enrollment device monitors and establishes the identity of the enrollee and measures the quality of the biometric input as it occurs. If unacceptable quality is detected, then repeated biometric scans may be necessary, but is done at time of enrollment avoiding any need to send inaccurate information back to a service institution. When the enrollment process completes, the biometric data is encrypted, time stamped and either mailed back to the service institution or is transmitted back. The biometric device may remain with the user for subsequent use as an identification sensor which may authenticate a user with stored biometric information to authenticate a user's identity for a transaction or a request to access a service or equipment. The biometric enrollment device may also be embodied with another piece of equipment to authenticate use of that equipment.
摘要翻译： 提供了一种方法和系统，用于提供来自个体的生物特征数据的登记，而不需要参加者前往中心位置。 该系统和方法提供了可选地检测多个类型的生物特征数据，例如指纹，面部扫描，视觉扫描，虹膜扫描，语音扫描等，以便在登记者使用时被捕获。 在生物识别捕获过程中，生物识别注册设备监控并建立登记者的身份，并在其发生时测量生物特征输入的质量。 如果检测到不可接受的质量，则可能需要重复的生物特征扫描，但是在注册时完成，避免任何需要向服务机构发送不准确的信息。 当注册过程完成时，生物特征数据被加密，加盖时间戳，并邮寄回服务机构或被传回。 该生物测定装置可以与用户一起留作用作随后用作识别传感器的识别传感器，其可以使用存储的生物特征信息来认证用户身份以进行交易或访问服务或设备的请求。 生物识别登记装置还可以用另一件设备来体现以认证该设备的使用。
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5.发明申请公开(公告)号：US20050078178A1
公开(公告)日：2005-04-14
申请号：US10683334
申请日：2003-10-10
申请人： Lisa Brown , Rudolf Bolle , Jonathan Connell , Arun Hampapur , Sharathchandra Pankanti , Andrew Senior , Ying-Li Tian
发明人： Lisa Brown , Rudolf Bolle , Jonathan Connell , Arun Hampapur , Sharathchandra Pankanti , Andrew Senior , Ying-Li Tian
IPC分类号： H04N7/18
CPC分类号： H04N7/181 , G06T7/70 , G06T2207/10012 , G06T2207/30196 , G06T2207/30244
摘要： A system and method to estimate the absolute coarse pose of a rigid body, and more specifically of an individual's head as captured by overhead wide-angle cameras, by integrating position and pose information. Position information ideally includes three-dimensional position information provided by range finders or derived from images captured by multiple cameras. The three-dimensional position information can additionally be employed to determine the anchored viewing ray for the object.
摘要翻译： 通过集成位置和姿态信息来估计刚体的绝对粗略姿态的系统和方法，更具体地，由顶置广角摄像机拍摄的个人的头部。 位置信息理想地包括由测距仪提供的三维位置信息或由多个摄像机拍摄的图像导出。 另外可以使用三维位置信息来确定对象的锚定观察光线。
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公开(公告)号：US09235766B2
公开(公告)日：2016-01-12
申请号：US13277936
申请日：2011-10-20
申请人： Ying Li , Sharathchandra Pankanti
发明人： Ying Li , Sharathchandra Pankanti
IPC分类号： G06K9/00
CPC分类号： G06K9/00805 , B60W2550/10 , B60W2550/402 , G06K9/00818 , G06T7/70 , G06T2207/30261 , H04N5/2256 , H04N5/2354 , H04N7/185
摘要： A system and method detect objects in a digital image. At least positional data associated with a vehicle is received. Geographical information associated with the positional data is received. A probability of detecting a target object within a corresponding geographic area associated with the vehicle is determined based on the geographical data. The probability is compared to a given threshold. An object detection process is at least one of activated and maintained in an activated state in response to an object detection process in response to the probability being one of above and equal to the given threshold. The object detection process detects target objects within at least one image representing at least one frame of a video sequence of an external environment. The object detection process is at least one of deactivated and maintained in a deactivated state in response to the probability being below the given threshold.
摘要翻译： 系统和方法检测数字图像中的对象。 至少接收到与车辆相关联的位置数据。 接收与位置数据相关联的地理信息。 基于地理数据确定检测与车辆相关联的相应地理区域内的目标对象的概率。 将概率与给定阈值进行比较。 对象检测处理是响应于上述等于给定阈值的概率而响应于对象检测处理而被激活并保持在激活状态中的至少一个。 对象检测处理检测表示外部环境的视频序列的至少一帧的至少一个图像内的目标对象。 响应于低于给定阈值的概率，对象检测处理是去激活和维持在去激活状态中的至少一个。
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公开(公告)号：US08724904B2
公开(公告)日：2014-05-13
申请号：US13280896
申请日：2011-10-25
申请人： Yuichi Fujiki , Norman Haas , Ying Li , Charles A. Otto , Balamanohar Paluri , Sharathchandra Pankanti
发明人： Yuichi Fujiki , Norman Haas , Ying Li , Charles A. Otto , Balamanohar Paluri , Sharathchandra Pankanti
IPC分类号： G06K9/46
CPC分类号： G06K9/6284 , B61L23/044 , B61L23/047 , B61L23/048 , G06K9/6218
摘要： A system, method, and computer program product for detecting anomalies in an image. In an example embodiment the method includes partitioning each image of a set of images into a plurality of image local units. The method further includes clustering all local units in the image set into clusters, and consequently assigning a class label to each local unit based on the clustering results. The local units with identical class labels having at least one substantially related image feature. Further, the method includes assigning a weight to each of the local units based on a variation of the class labels across all images in a set of images. The method further includes performing a clustering over all images in the set by using a distance metric that takes the learned weight of each local unit into account, then determining the images that belong to minorities of the clusters as anomalies.
摘要翻译： 一种用于检测图像异常的系统，方法和计算机程序产品。 在示例实施例中，该方法包括将一组图像的每个图像划分为多个图像本地单元。 该方法还包括将图像集中的所有局部单元聚类成群集，并且因此基于聚类结果将类标签分配给每个本地单元。 具有相同类别标签的本地单元具有至少一个基本上相关的图像特征。 此外，该方法包括基于一组图像中的所有图像上的类别标签的变化来为每个本地单元分配权重。 该方法还包括通过使用考虑每个本地单元的学习权重的距离度量来执行集合中的所有图像的聚类，然后将属于集群的少数群体的图像确定为异常。
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公开(公告)号：US08625878B2
公开(公告)日：2014-01-07
申请号：US13087490
申请日：2011-04-15
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： G06K9/00
CPC分类号： G06K9/00 , B61L23/047 , B61L23/048
摘要： A method, system, and computer program product for automatically inspecting railroad tracks. The method includes assessing a configuration of rail components depicted in an image by comparing the configuration of the rail components to known hazards. The method also includes determining a severity of detected problems in the configuration of the rail components, using a computer processor.
摘要翻译： 一种用于自动检查铁轨的方法，系统和计算机程序产品。 该方法包括通过将轨道部件的配置与已知危险进行比较来评估图像中描绘的轨道部件的配置。 该方法还包括使用计算机处理器来确定轨道部件的配置中检测到的问题的严重性。
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公开(公告)号：US08509526B2
公开(公告)日：2013-08-13
申请号：US13086023
申请日：2011-04-13
申请人： Norman Haas , Ying Li , Sharathchandra Pankanti
发明人： Norman Haas , Ying Li , Sharathchandra Pankanti
IPC分类号： G06K9/00
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 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。 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：US08509478B2
公开(公告)日：2013-08-13
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： G06K9/00
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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