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。

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。

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。

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。

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。

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。

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。

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。

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。

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

IPC分类号： H04N5/228 ,  H04N5/225 ,  H04N5/262

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。