专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

11. 发明授权

US06965900B2 METHOD AND APPARATUS FOR ELECTRONICALLY EXTRACTING APPLICATION SPECIFIC MULTIDIMENSIONAL INFORMATION FROM DOCUMENTS SELECTED FROM A SET OF DOCUMENTS ELECTRONICALLY EXTRACTED FROM A LIBRARY OF ELECTRONICALLY SEARCHABLE DOCUMENTS 失效
标题翻译：从电子搜索文件库电子提取的一组文件中选择的文件中电子提取应用程序特定多维信息的方法和装置
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。

12. 发明授权

US11025865B1 Contextual visual dataspaces 有权
公开(公告)号：US11025865B1
公开(公告)日：2021-06-01
申请号：US13163558
申请日：2011-06-17
申请人： Swarup S. Medasani , Yuri Owechko , Kyungnam Kim , Alexander Krayner
发明人： Swarup S. Medasani , Yuri Owechko , Kyungnam Kim , Alexander Krayner
IPC分类号： H04N7/18
摘要： A method is disclosed. The method receives a two dimensional or a three dimensional computer generated representation of an area, receives a plurality of images of the area captured by one or more video cameras, detects a first moving object in the plurality of images, generates a computer representation of the first moving object, correlates the images of the area captured by the one or more video cameras with the two dimensional or three dimensional computer generated representation of the area, and displays the computer representation of the first moving object in the two dimensional or the three dimensional computer generated representation of the area.

13. 发明申请

US20130083959A1 Multi-Modal Sensor Fusion 有权
标题翻译：多模态传感器融合
公开(公告)号：US20130083959A1
公开(公告)日：2013-04-04
申请号：US13249064
申请日：2011-09-29
申请人： Yuri Owechko , Shinko Y. Cheng , Swarup S. Medasani , Kyungnam Kim
发明人： Yuri Owechko , Shinko Y. Cheng , Swarup S. Medasani , Kyungnam Kim
IPC分类号： G06K9/00
CPC分类号： G06K9/00771 , G06T7/277 , G06T7/33 , G06T7/344 , G06T2207/10016 , G06T2207/10032 , G06T2207/10044 , G06T2207/10048 , G06T2207/20076
摘要： A method and apparatus for processing images. A sequence of images for a scene is received from an imaging system. An object in the scene is detected using the sequence of images. A viewpoint of the imaging system is registered to a model of the scene using a region in the model of the scene in which an expected behavior of the object is expected to occur.
摘要翻译：一种用于处理图像的方法和装置。从成像系统接收场景的一系列图像。使用图像序列检测场景中的对象。使用预期发生对象的期望行为的场景的模型中的区域将成像系统的视点注册到场景的模型。

14. 发明授权

US08396293B1 Recognizing geometrically salient objects from segmented point clouds using strip grid histograms 有权
标题翻译：使用带状网格直方图识别来自分段点云的几何显着对象
公开(公告)号：US08396293B1
公开(公告)日：2013-03-12
申请号：US12644751
申请日：2009-12-22
申请人： Thommen Korah , Swarup S. Medasani , Yuri Owechko
发明人： Thommen Korah , Swarup S. Medasani , Yuri Owechko
IPC分类号： G06K9/00
CPC分类号： G06K9/0063
摘要： A method of recognizing geometrically salient objects from sensed data points collected in a 3D environment includes using a sensor that collects a plurality of sensed data points each having spatial coordinate information in three dimensions x, y and z, populating a strip histogram grid having a plurality of strips, each strip having a z, dx and dy dimensions, wherein dx is a portion of an x dimension and dy is a portion of a y dimension of the strip histogram grid, by assigning each sensed data point to a strip that has x, y and z dimensions that encompass the spatial coordinate information of the respective assigned sensed data point, and segmenting the strip histogram grid into a plurality of segmented regions, each segmented region comprising one strip or a group of neighboring strips having similar attributes.
摘要翻译：从在3D环境中收集的感测数据点识别几何显着物体的方法包括使用收集多个感测数据点的传感器，每个感测数据点具有三维x，y和z的空间坐标信息，填充具有多个每个条带具有az，dx和dy尺寸，其中dx是x尺寸的一部分，dy是条形柱状图网格的ay尺寸的一部分，通过将每个感测数据点分配给具有x，y的条带和Z维度，其包含相应分配的感测数据点的空间坐标信息，并将条带直方图网格分割成多个分段区域，每个分段区域包括具有相似属性的一个条带或一组相邻条带。

15. 发明授权

US08537338B1 Street curb and median detection using LIDAR data 有权
标题翻译：使用LIDAR数据的街道路边和中值检测
公开(公告)号：US08537338B1
公开(公告)日：2013-09-17
申请号：US13216580
申请日：2011-08-24
申请人： Swarup S. Medasani , Yuri Owechko , Thommen Korah
发明人： Swarup S. Medasani , Yuri Owechko , Thommen Korah
IPC分类号： G01C3/08 , G06K9/00 , G06K9/48
CPC分类号： G01C21/32 , G01S7/4802 , G01S17/89 , G06K9/00651 , G06K9/6221
摘要： A method of extracting street and road data from a dataset obtained using LIDAR techniques to scan a terrestrial region of the earth's surface of interest to form the dataset. The method includes: converting the dataset into an implicit representation using a population function; converting the implicit representation into 2D point data which are supplied to an agglomerative Gaussian mixture decomposition module, the agglomerative Gaussian mixture decomposition module automatically and parsimoniously fitting the 2-D point data with a set of Gaussian components; and modeling a segment of a street grid in the dataset by Gaussian models and constraining the Gaussian models to align with each other and a dominant orientation of the streets in order to detect streets. Ray tracing techniques may be used to detect curbs and medians.
摘要翻译：从使用LIDAR技术获得的数据集中提取街道和道路数据的方法来扫描地球表面的地球区域以形成数据集。该方法包括：使用群体函数将数据集转换为隐式表示; 将隐含表示转换为提供给聚集高斯混合分解模块的2D点数据，聚集高斯混合分解模块自动且简约地将2-D点数据与一组高斯分量拟合; 并通过高斯模型对数据集中的街道网格的一个模型进行建模，并约束高斯模型以便彼此对齐以及街道的主导方向以便检测街道。光线跟踪技术可用于检测路缘石和中位数。

16. 发明授权

US07227893B1 Application-specific object-based segmentation and recognition system 失效
标题翻译：特定于应用程序的基于对象的分割和识别系统
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。

17. 发明授权

US06950813B2 Fuzzy inference network for classification of high-dimensional data 有权
标题翻译：用于高维数据分类的模糊推理网络
公开(公告)号：US06950813B2
公开(公告)日：2005-09-27
申请号：US09840286
申请日：2001-04-23
申请人： Narayan Srinivasa , Swarup S. Medasani
发明人： Narayan Srinivasa , Swarup S. Medasani
IPC分类号： G06N3/00 , G05B13/02 , G06K9/00 , G06N7/02 , G06F9/44 , G06N7/06
CPC分类号： G06N7/023 , G06K9/00362
摘要： The present invention provides an improved method and system for training an on-line fuzzy inference network to generate a rule base, and a rule base generated thereby. Tuning and applying a learning rule to the fuzzy rules generated by the fuzzy inference network in such as manner as to divorce the performance of the network from the number of input dimensions allows the present invention to adapt a fuzzy inference network such as a SONFIN to be effective for the classification of high-dimensional data in problems requiring the use of a high number of dimensions such as occupant recognition in vehicles, weather forecasting, and economic forecasting.
摘要翻译：本发明提供了一种用于训练在线模糊推理网络以生成规则库的改进方法和系统，以及由此产生的规则库。调整和应用学习规则到由模糊推理网络生成的模糊规则中，使得将网络的性能与输入维数的离散方式相结合，使得本发明能够使诸如SONFIN之类的模糊推理网络适应于有效地在需要使用诸如车辆中的乘客识别，天气预报和经济预测等大量维度的问题中对高维数据进行分类。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式