公开(公告)号：US20060129843A1

公开(公告)日：2006-06-15

申请号：US11198798

申请日：2005-08-05

申请人： Narayan Srinivasa ,  Swarup Medasani ,  Yuri Owechko ,  Deepak Khosla

发明人： Narayan Srinivasa ,  Swarup Medasani ,  Yuri Owechko ,  Deepak Khosla

IPC分类号： G06F12/14

CPC分类号： G06F16/335 ,  Y10S707/99933 ,  Y10S707/99935 ,  Y10S707/99942 ,  Y10S707/99943 ,  Y10S707/99945

摘要： An apparatus and method is disclosed for providing application specific multi-dimensional information to an application running on a user computing device, wherein at least one dimension of the information is a category, from a plurality of member documents electronically extracted from a library of electronically searchable documents, which may comprise an application specific multidimensional information extractor adapted to extract occurrences of prospective representations of dimensions of application specific multidimensional information from the member documents, and to extract occurrences of non-application specific multidimensional information from the member documents; and, an encoder adapted to encode the occurrences of prospective dimensions of application specific multidimensional information and non-application specific multidimensional information contained in member documents according to a dimension specific coded representation of each dimension of application specific multidimensional information and a non-application specific coded representation of each non-application specific multidimensional information element. The apparatus and method may further comprise a member document identifier adapted to determine whether a member document contains coded formatting, and if not, whether the member document is a dense document, and if not, for rejecting the document from further processing, and the coded formatting may comprise network markup language coding. The apparatus and method may further comprise an application specific multidimensional information verification unit adapted verify the extraction of application specific multi-dimensional information from the member documents, and may further comprise a database for storing the application specific multi-dimensional information adapted to provide an application running on a user computing device access to the application specific multidimensional information. The application specific multidimensional information may be scheduled events having the dimensions of time, location and event identity, and the application running on the user computer can be an electronic calendar or other similar scheduling software program.

公开(公告)号：US07026979B2

公开(公告)日：2006-04-11

申请号：US10742738

申请日：2003-12-19

申请人： Deepak Khosla

发明人： Deepak Khosla

IPC分类号： G01S13/72

CPC分类号： G01S13/726

摘要： A method, apparatus, and computer program product for joint kinematic and feature tracking are presented. Kinematic measurements and feature/class measurements regarding an object are received from a sensor. A probabilistic argumentation operation is performed on the feature/class measurements using information from a knowledge base and a track file ect to generate feature track likelihood scores regarding likely tracks for the object. Kinematic track likelihood scores are generated based on the kinematic measurements and the track file. Joint track likelihood scores are generated based on the feature track likelihood scores and the kinematic track likelihood scores. Joint track likelihood scores are used to generate a multi-frame track measurement association to determine a most likely track for the object. The track file is continually updated with the most likely track for the object, so that the most likely trajectory of the object is obtained.

摘要翻译： 提出了一种用于联合运动学和特征跟踪的方法，装置和计算机程序产品。 从传感器接收关于物体的运动测量和特征/等级测量。 使用来自知识库和轨道文件等的信息对特征/类别测量执行概率论证操作，以生成关于对象的可能轨道的特征轨迹可能性分数。 基于运动学测量和轨迹文件生成运动轨迹可能性分数。 基于特征轨迹可能性得分和运动轨迹可能性得分，产生联合轨迹可能性得分。 联合轨迹可能性分数用于产生多帧轨道测量关联，以确定对象的最可能的轨迹。 跟踪文件不断更新为对象的最可能的轨迹，从而获得对象的最可能的轨迹。

公开(公告)号：US20050001759A1

公开(公告)日：2005-01-06

申请号：US10742738

申请日：2003-12-19

申请人： Deepak Khosla

发明人： Deepak Khosla

IPC分类号： G01S13/72

CPC分类号： G01S13/726

摘要： A method, apparatus, and computer program product for joint kinematic and feature tracking are presented. Kinematic measurements and feature/class measurements regarding an object are received from a sensor. A probabilistic argumentation operation is performed on the feature/class measurements using information from a knowledge base and a track file ect to generate feature track likelihood scores regarding likely tracks for the object. Kinematic track likelihood scores are generated based on the kinematic measurements and the track file. Joint track likelihood scores are generated based on the feature track likelihood scores and the kinematic track likelihood scores. Joint track likelihood scores are used to generate a multi-frame track measurement association to determine a most likely track for the object. The track file is continually updated with the most likely track for the object, so that the most likely trajectory of the object is obtained.

摘要翻译： 提出了一种用于联合运动学和特征跟踪的方法，装置和计算机程序产品。 从传感器接收关于物体的运动测量和特征/等级测量。 使用来自知识库和轨道文件等的信息对特征/类别测量执行概率论证操作，以生成关于对象的可能轨道的特征轨迹可能性分数。 基于运动学测量和轨迹文件生成运动轨迹可能性分数。 基于特征轨迹可能性得分和运动轨迹可能性得分，产生联合轨迹可能性得分。 联合轨迹可能性分数用于产生多帧轨道测量关联，以确定对象的最可能的轨迹。 跟踪文件不断更新为对象的最可能的轨迹，从而获得对象的最可能的轨迹。

公开(公告)号：US08363939B1

公开(公告)日：2013-01-29

申请号：US12214259

申请日：2008-06-16

申请人： Deepak Khosla ,  David Huber

发明人： Deepak Khosla ,  David Huber

IPC分类号： G06K9/00

CPC分类号： G06K9/4623 ,  G06K9/3241

摘要： Described is a bio-inspired vision system for attention and object segmentation capable of computing attention for a natural scene, attending to regions in a scene in their rank of saliency, and extracting the boundary of an attended proto-object based on feature contours to segment the attended object. The attention module can work in both a bottom-up and a top-down mode, the latter allowing for directed searches for specific targets. The region growing module allows for object segmentation that has been shown to work under a variety of natural scenes that would be problematic for traditional object segmentation algorithms. The system can perform at multiple scales of object extraction and possesses a high degree of automation. Lastly, the system can be used by itself for stand-alone searching for salient objects in a scene, or as the front-end of an object recognition and online labeling system.

摘要翻译： 描述了一种生物灵感的视觉系统，用于注意和对象分割，能够计算自然场景的注意力，参与场景中的显着性级别的区域，并且基于特征轮廓提取出现的原型对象的边界以分段 参加的对象。 注意模块可以同时工作在自下而上和自上而下的模式，后者允许定向搜索特定的目标。 区域增长模块允许已经显示在多种自然场景下工作的对象分割，这对于传统的对象分割算法是有问题的。 该系统可以在多个对象提取尺度下执行，并具有高度的自动化程度。 最后，该系统本身可以用于独立搜索场景中的显着对象，或者作为对象识别和在线标签系统的前端。

公开(公告)号：US20100250319A1

公开(公告)日：2010-09-30

申请号：US12796857

申请日：2010-06-09

申请人： Deepak Khosla ,  Thomas S. Nichols

发明人： Deepak Khosla ,  Thomas S. Nichols

IPC分类号： G06Q10/00 ,  G06Q50/00

CPC分类号： F41G3/04 ,  F41G7/007 ,  G06Q10/06 ,  G06Q10/067

摘要： Method and apparatus to automatically allocate and schedule weapon systems to threats for maximizing an engagement objective. In one aspect, methods and systems maximize threat killed. In another aspect, methods and systems maximize asset survival against threats. The methods and apparatus considers temporal and resource constraints such that weapons systems are able to engage threats assigned to them.

摘要翻译： 自动分配和安排武器系统的威胁的方法和装置，以最大化接合目标。 在一个方面，方法和系统使威胁被杀死。 另一方面，方法和系统可以最大限度地利用威胁来实现资产生存。 方法和设备考虑到时间和资源的限制，使得武器系统能够参与分配给他们的威胁。

公开(公告)号：US07227893B1

公开(公告)日：2007-06-05

申请号：US10646585

申请日：2003-08-22

申请人： Narayan Srinivasa ,  Swarup S. Medasani ,  Yuri Owechko ,  Deepak Khosla

发明人： Narayan Srinivasa ,  Swarup S. Medasani ,  Yuri Owechko ,  Deepak Khosla

IPC分类号： H04N7/18

CPC分类号： G08B13/19606 ,  G06K9/00771 ,  G08B13/19602 ,  G08B13/19608 ,  G08B13/19613

摘要： A video detection and monitoring method and apparatus utilizes an application-specific object based segmentation and recognition system for locating and tracking an object of interest within a number of sequential frames of data collected by a video camera or similar device. One embodiment includes a background modeling and object segmentation module to isolate from a current frame at least one segment of the current frame containing a possible object of interest, and a classification module adapted to determine whether or not any segment of the output from the background modeling apparatus includes an object of interest and to characterize any such segment as an object segment. An object segment tracking apparatus is adapted to track the location within a current frame of any object segment and to determine a projected location of the object segment in a subsequent frame.

摘要翻译： 视频检测和监测方法和装置利用基于特定目标的对象分割和识别系统来定位和跟踪由摄像机或类似设备收集的多个数据的连续数据帧内的感兴趣对象。 一个实施例包括背景建模和对象分割模块，以从当前帧与当前帧的至少一个分段包含可能的感兴趣对象隔离，并且分类模块适于确定来自背景建模的输出的任何分段 装置包括感兴趣的对象并且将任何这样的片段表征为对象片段。 对象段跟踪装置适于跟踪任何对象段的当前帧内的位置，并且确定对象段在随后帧中的投影位置。

公开(公告)号：US06718259B1

公开(公告)日：2004-04-06

申请号：US10263924

申请日：2002-10-02

申请人： Deepak Khosla

发明人： Deepak Khosla

IPC分类号： G01C2126

CPC分类号： G01C21/26 ,  B60W2550/14 ,  G05D1/0212 ,  G08G1/166 ,  G08G1/167

摘要： The present invention provides a method and apparatus for estimation of vehicle forward path geometry utilizing an adaptive Kalman filter bank and a two-clothoid road model. The invention provides that each of a plurality of Kalman filters, utilizing the latest available measurement vector Yk at time k, estimates the state vector Xk and error covariance matrix Pk. The outputs of filter 504a, 504b, and 504c denoted as as Xkj and Pkj, are provided to a plurality of weighting elements, which calculate weight factors, Wkj 506a, 506b, and 506c for each filter. The weight factor of each filter is the probability that the upcoming road geometry matches the road model hypothesized in the filter. After being assigned a weighted value, the weighted value road models are fused in a fusion element 508, and a weighted output road geometry model is provided.

摘要翻译： 本发明提供了一种使用自适应卡尔曼滤波器组和双回旋道路模型来估计车辆前进路径几何的方法和装置。 本发明提供了利用时间k处的最新可用测量向量Y k的多个卡尔曼滤波器中的每一个估计状态向量X k和误差协方差矩阵P k。 将表示为Xkj和Pkj的滤波器504a，504b和504c的输出提供给多个加权元件，该加权元件针对每个滤波器计算加权因子Wk 506a，506b和506c 。 每个过滤器的权重因子是即将到来的道路几何与过滤器中假设的道路模型匹配的概率。 在分配加权值之后，将加权值道路模型融合在融合元件508中，并且提供加权输出道路几何模型。

公开(公告)号：US09600767B1

公开(公告)日：2017-03-21

申请号：US12317884

申请日：2008-12-30

申请人： Aleksey Nogin ,  Deepak Khosla ,  Yang Chen

发明人： Aleksey Nogin ,  Deepak Khosla ,  Yang Chen

IPC分类号： G06N5/02 ,  G06N5/04 ,  G06N99/00

CPC分类号： G06N5/02 ,  G06N3/08 ,  G06N5/04 ,  G06N99/005

摘要： The present invention relates to a system, method, and computer program product for generating a single software code based on a description of a distributed architecture. The present invention introduces a BICA-SMART development framework that implements a distributed architecture in a flexible, parallel and scalable implementation that is embodied by a single software code. Thus, using the present invention, a user can input a description of the architecture into the system, with the system automatically generating the software code to implement the architectural description.

公开(公告)号：US20080250875A1

公开(公告)日：2008-10-16

申请号：US11787135

申请日：2007-04-13

申请人： Deepak Khosla ,  James Guillochon

发明人： Deepak Khosla ,  James Guillochon

IPC分类号： G01N1/00

CPC分类号： G01N35/0092 ,  G01N35/00871

摘要： A method and system of a sparse sampling planner uses a finite number of measurements to determine a track's expected intermediate kinematic and classification state for a specific sensor action. It uses the expected track state to compute a reward function. The expected states are further propagated for actions at the next time step to determine the next states and so on. The sampling becomes sparse and the reward function is discounted as one propagates further in time. This produces a state-action tree that is more top-heavy while providing greater accuracy at times closer to the decision point. By doing so, the planner creates a plan comprising a sequence of actions that result in the highest reward. By employing various heuristics to further prune the tree gives highly accurate results with significant savings in computational processor time.

摘要翻译： 稀疏采样计划器的方法和系统使用有限数量的测量来确定特定传感器动作的轨道的预期中间运动学和分类状态。 它使用预期轨迹状态计算奖励功能。 在下一个时间步骤中进一步传播预期状态以确定下一个状态等等。 抽样变得稀疏，奖励功能随着时间的推移而被打折扣。 这产生了一个状态动作树，它在更接近决策点的同时提供更高的精度，更重要。 通过这样做，计划员创建一个计划，其中包含一系列可以获得最高回报的动作。 通过采用各种启发式方式进一步修剪树，可以显着节省计算处理器时间，从而获得高精度的结果。

公开(公告)号：US06965900B2

公开(公告)日：2005-11-15

申请号：US10026065

申请日：2001-12-19

申请人： Narayan Srinivasa ,  Swarup S. Medasani ,  Yuri Owechko ,  Deepak Khosla

发明人： Narayan Srinivasa ,  Swarup S. Medasani ,  Yuri Owechko ,  Deepak Khosla

IPC分类号： G06F7/00 ,  G06F17/30

CPC分类号： G06F17/30699 ,  Y10S707/99933 ,  Y10S707/99935 ,  Y10S707/99942 ,  Y10S707/99943 ,  Y10S707/99945

摘要： An apparatus and method provides application specific multidimensional information to an application running on a user computing device from a plurality of member documents electronically extracted from a library of electronically searchable documents. An information extractor is adapted to extract occurrences of prospective representations of dimensions of application specific multidimensional information and occurrences of non-application specific multidimensional information from the member documents. Also, an encoder is adapted to encode the occurrences of prospective dimensions of application specific and non-application specific multidimensional information contained in member documents. A member document identifier determines document formatting and decides whether to proceed with further processing. An information verification unit optionally verifies the extraction of application specific multidimensional information from the member documents. A database optionally stores and provides access to the application specific multidimensional information, which may for example be scheduled events having dimensions of time, location, identity.

摘要翻译： 一种装置和方法从用户计算装置上运行的应用程序向从电子可搜索文件库电子提取的多个成员文件提供应用特定的多维信息。 信息提取器适于从成员文档中提取应用程序特定多维信息的维度的预期表示以及非应用程序特定多维信息的出现。 此外，编码器适于对包含在成员文档中的应用特定和非应用特定多维信息的预期维度的出现进行编码。 成员文件标识符确定文档格式，并决定是否进行进一步处理。 信息验证单元可选地验证从成员文档中提取特定于应用的多维信息。 数据库可选地存储并提供对应用程序特定的多维信息的访问，其可以例如是具有时间，位置，身份的维度的调度事件。