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51. 发明授权

US08330819B2 Method for pose invariant vessel fingerprinting 有权
标题翻译：姿态不变血管指纹方法
公开(公告)号：US08330819B2
公开(公告)日：2012-12-11
申请号：US12758507
申请日：2010-04-12
申请人： Sang-Hack Jung , Ajay Divakaran , Harpreet Singh Sawhney
发明人： Sang-Hack Jung , Ajay Divakaran , Harpreet Singh Sawhney
IPC分类号： H04N7/18
CPC分类号： G06K9/00771 , G06K9/6206 , G06K9/6211
摘要： A computer-implemented method for for matching objects is disclosed. At least two images where one of the at least two images has a first target object and a second of the at least two images has a second target object are received. At least one first patch from the first target object and at least one second patch from the second target object are extracted. A distance-based part encoding between each of the at least one first patch and the at least one second patch based upon a corresponding codebook of image parts including at least one of part type and pose is constructed. A viewpoint of one of the at least one first patch is warped to a viewpoint of the at least one second patch. A parts level similarity measure based on the view-invariant distance measure for each of the at least one first patch and the at least one second patch is applied to determine whether the first target object and the second target object are the same or different objects.
摘要翻译：公开了一种用于匹配对象的计算机实现的方法。接收至少两个图像，其中至少两个图像中的一个具有第一目标对象，并且至少两个图像中的第二图像具有第二目标对象。提取来自第一目标对象的至少一个第一补丁和来自第二目标对象的至少一个第二补丁。构建基于包括部件类型和姿态中的至少一个的图像部件的对应码本的至少一个第一贴片和至少一个第二贴片中的每一个之间的基于距离的部件编码。所述至少一个第一贴片中的一个的视点弯曲到所述至少一个第二贴片的观点。应用基于对于至少一个第一贴片和至少一个第二贴片中的每一个的视图不变距离度量的零件级相似性度量来确定第一目标对象和第二目标对象是相同还是不同的对象。

52. 发明授权

US08224097B2 Building segmentation for densely built urban regions using aerial LIDAR data 有权
标题翻译：使用航空LIDAR数据建造高密度城市地区的分段
公开(公告)号：US08224097B2
公开(公告)日：2012-07-17
申请号：US12138027
申请日：2008-06-12
申请人： Bogdan Calin Mihai Matei , Supun Samarasekera , Janet Yonga Kim , Charles Fielding Finch Karney , Harpreet Singh Sawhney , Rakesh Kumar
发明人： Bogdan Calin Mihai Matei , Supun Samarasekera , Janet Yonga Kim , Charles Fielding Finch Karney , Harpreet Singh Sawhney , Rakesh Kumar
IPC分类号： G06K9/46 , G06K9/34
CPC分类号： G06T7/11 , G06T2207/10032 , G06T2207/30184
摘要： A method for extracting a 3D terrain model for identifying at least buildings and terrain from LIDAR data is disclosed, comprising the steps of generating a point cloud representing terrain and buildings mapped by LIDAR; classifying points in the point cloud, the point cloud having ground and non-ground points, the non-ground points representing buildings and clutter; segmenting the non-ground points into buildings and clutter; and calculating a fit between at least one building segment and at least one rectilinear structure, wherein the fit yields the rectilinear structure with the fewest number of vertices. The step of calculating further comprises the steps of (a) calculating a fit of a rectilinear structure to the at least one building segment, wherein each of the vertices has an angle that is a multiple of 90 degrees; (b) counting the number of vertices; (c) rotating the at least one building segment about an axis by a predetermined increment; and (d) repeating steps (a)-(c) until a rectilinear structure with the least number of vertices is found.
摘要翻译：公开了一种用于从LIDAR数据中提取用于识别至少建筑物和地形的3D地形模型的方法，包括以下步骤：生成表示由LIDAR映射的地形和建筑物的点云; 点云分点，点云具有地面和非地面点，代表建筑物的非地面点和杂乱; 将非地面点划分为建筑物和混乱; 以及计算至少一个构建段和至少一个直线结构之间的拟合，其中所述拟合产生具有最少数量顶点的直线结构。计算步骤还包括以下步骤：（a）计算直线结构对至少一个构建段的拟合，其中每个顶点具有90度的倍数的角度; （b）计算顶点数; （c）使所述至少一个构建段绕轴线旋转预定的增量; 和（d）重复步骤（a） - （c），直到找到具有最少顶点数的直线结构。

53. 发明申请

US20100271905A1 WEAPON IDENTIFICATION USING ACOUSTIC SIGNATURES ACROSS VARYING CAPTURE CONDITIONS 有权
标题翻译：使用声音识别的武器识别符合各种不同的捕获条件
公开(公告)号：US20100271905A1
公开(公告)日：2010-10-28
申请号：US12766219
申请日：2010-04-23
申请人： Saad Khan , Ajay Divakaran , Harpreet Singh Sawhney
发明人： Saad Khan , Ajay Divakaran , Harpreet Singh Sawhney
IPC分类号： G01S3/80
CPC分类号： G10L25/48
摘要： A computer implemented method for automatically detecting and classifying acoustic signatures across a set of recording conditions is disclosed. A first acoustic signature is received. The first acoustic signature is projected into a space of a minimal set of exemplars of acoustic signature types derived from a larger set of exemplars using a wrapper method. At least one vector distance is calculated between the projected acoustic signature and each exemplar of the minimal set of exemplars. An exemplar is selected from the minimal set of exemplars having the smallest vector distance to the projected acoustic signature as a class corresponding to and classifying the first acoustic signature. The first acoustic signature and the plurality of acoustic signatures may correspond to one of gunshots, musical instruments, songs, and speech. The minimal set of exemplars may correspond to a hierarchy of acoustic signature types.
摘要翻译：公开了一种用于在一组记录条件下自动检测和分类声学签名的计算机实现的方法。接收到第一个声学签名。第一声学签名被投影到使用包装方法从更大的样本集合导出的声学签名类型的最小样本集合的空间中。在投影的声学特征与最小样本集的每个样本之间计算至少一个矢量距离。从具有与投影的声学签名的最小向量距离的最小样本集合中选择一个示例作为对应于和分类第一声学签名的类别。第一声学签名和多个声学签名可以对应于枪声，乐器，歌曲和语音之一。最小的一组样本可以对应于声学签名类型的层级。

54. 发明授权

US07706571B2 Flexible layer tracking with weak online appearance model 有权
标题翻译：柔性层跟踪与弱在线外观模型
公开(公告)号：US07706571B2
公开(公告)日：2010-04-27
申请号：US11250181
申请日：2005-10-13
申请人： Subhodev Das , Manoj Aggarwal , Harpreet Singh Sawhney , Rakesh Kumar , Supun Samarasekera
发明人： Subhodev Das , Manoj Aggarwal , Harpreet Singh Sawhney , Rakesh Kumar , Supun Samarasekera
IPC分类号： G06K9/00
CPC分类号： G06K9/32 , G06K9/00369 , G06T7/251 , G06T7/277 , G06T2207/10016 , G06T2207/30196 , G06T2207/30232
摘要： Method for tracking an object recorded within a selected frame of a sequence of frames of video data, using a plurality of layers, where at least one object layer of the plurality of layers represents the object includes initializing layer ownership probabilities for pixels of the selected frame using a non-parametric motion model, estimating a set of motion parameters of the plurality of layers for the selected frame using a parametric maximization algorithm and tracking the object. The non-parametric motion model is optical flow and includes warping the mixing probabilities, the appearances of the plurality of layers, and the observed pixel data from the pixels of the preceding frame to the pixels of the selected frame to initialize the layer ownership probabilities for the pixels of the selected frame.
摘要翻译：用于使用多个层来跟踪记录在视频数据帧序列的所选帧内的对象的方法，其中多个层中的至少一个对象层表示对象包括初始化所选帧的像素的层所有权概率使用非参数运动模型，使用参数最大化算法估计所选择的帧的所述多个层的运动参数的集合并跟踪所述对象。非参数运动模型是光流，包括混合概率，多层的出现以及从前一帧的像素到所选帧的像素的观察像素数据的变形，以初始化层所有权概率所选帧的像素。

55. 发明授权

US06512857B1 Method and apparatus for performing geo-spatial registration 失效
标题翻译：执行地理空间配准的方法和装置
公开(公告)号：US06512857B1
公开(公告)日：2003-01-28
申请号：US09075462
申请日：1998-05-08
申请人： Stephen Charles Hsu , Rakesh Kumar , Harpreet Singh Sawhney , Jane Asmuth
发明人： Stephen Charles Hsu , Rakesh Kumar , Harpreet Singh Sawhney , Jane Asmuth
IPC分类号： G06K932
CPC分类号： G06T7/70 , G06T7/30
摘要： A system and method for accurately mapping between camera coordinates and geo-coordinates, called geo-spatial registration. The system utilizes the imagery and terrain information contained in the geo-spatial database to precisely align geographically calibrated reference imagery with an input image, e.g., dynamically generated video images, and thus achieve a high accuracy identification of locations within the scene. When a sensor, such as a video camera, images a scene contained in the geo-spatial database, the system recalls a reference image pertaining to the imaged scene. This reference image is aligned very accurately with the sensor's images using a parametric transformation. Thereafter, other information that is associated with the reference image can easily be overlaid upon or otherwise associated with the sensor imagery.
摘要翻译：一种用于在相机坐标和地理坐标之间精确映射的系统和方法，称为地理空间注册。该系统利用地理空间数据库中包含的图像和地形信息精确地对准地理校准的参考图像与输入图像，例如动态生成的视频图像，从而实现对场景内位置的高精度识别。当诸如摄像机的传感器对包含在地理空间数据库中的场景进行成像时，系统调用与成像场景相关的参考图像。该参考图像使用参数变换与传感器的图像非常准确地对齐。此后，与参考图像相关联的其他信息可以容易地覆盖在传感器图像上或以其他方式与传感器图像相关联。

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