专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明授权

US07949295B2 Automated trainee monitoring and performance evaluation system 有权
标题翻译：自动实习监督与绩效考核制度
公开(公告)号：US07949295B2
公开(公告)日：2011-05-24
申请号：US11206678
申请日：2005-08-18
申请人： Rakesh Kumar , Aydin Arpa , Hui Cheng , Vincent Paragano , Keith J. Hanna
发明人： Rakesh Kumar , Aydin Arpa , Hui Cheng , Vincent Paragano , Keith J. Hanna
IPC分类号： G09B5/00 , G09B9/00 , G06F17/00
CPC分类号： G09B7/02 , F41A33/00 , F41G3/26 , F41J5/10 , F41J5/14
摘要： A method and system for performing automated training environment monitoring and evaluation. The training environment may include a mixed reality elements to enhance a training experience.
摘要翻译：一种用于执行自动化培训环境监测和评估的方法和系统。培训环境可能包括混合的现实要素，以增强培训经验。

2. 发明申请

US20060073449A1 Automated trainee monitoring and performance evaluation system 有权
标题翻译：自动实习监督与绩效考核制度
公开(公告)号：US20060073449A1
公开(公告)日：2006-04-06
申请号：US11206678
申请日：2005-08-18
申请人： Rakesh Kumar , Aydin Arpa , Hui Cheng , Vincent Paragano , Keith Hanna
发明人： Rakesh Kumar , Aydin Arpa , Hui Cheng , Vincent Paragano , Keith Hanna
IPC分类号： G09B19/00
CPC分类号： G09B7/02 , F41A33/00 , F41G3/26 , F41J5/10 , F41J5/14
摘要： A method and system for performing automated training environment monitoring and evaluation. The training environment may include a mixed reality elements to enhance a training experience.
摘要翻译：一种用于执行自动化培训环境监测和评估的方法和系统。培训环境可能包括混合的现实要素，以增强培训经验。

3. 发明授权

US08634638B2 Real-time action detection and classification 有权
标题翻译：实时动作检测与分类
公开(公告)号：US08634638B2
公开(公告)日：2014-01-21
申请号：US12488911
申请日：2009-06-22
申请人： Feng Han , Hui Cheng , Jiangjian Xiao , Harpreet Singh Sawhney , Sang-Hack Jung , Rakesh Kumar , Yanlin Guo
发明人： Feng Han , Hui Cheng , Jiangjian Xiao , Harpreet Singh Sawhney , Sang-Hack Jung , Rakesh Kumar , Yanlin Guo
IPC分类号： G06K9/62
CPC分类号： G06K9/00342
摘要： The present invention relates to a method and system for creating a strong classifier based on motion patterns wherein the strong classifier may be used to determine an action being performed by a body in motion. When creating the strong classifier, action classification is performed by measuring similarities between features within motion patterns. Embodiments of the present invention may utilize candidate part-based action sets and training samples to train one or more weak classifiers that are then used to create a strong classifier.
摘要翻译：本发明涉及一种用于基于运动模式创建强分类器的方法和系统，其中强分类器可用于确定由运动中的身体执行的动作。当创建强分类器时，通过测量运动模式中的特征之间的相似度来执行动作分类。本发明的实施例可以利用基于候选部分的动作集和训练样本来训练一个或多个弱分类器，然后将其用于创建强分类器。

4. 发明申请

US20090316983A1 Real-Time Action Detection and Classification 有权
标题翻译：实时行动检测与分类
公开(公告)号：US20090316983A1
公开(公告)日：2009-12-24
申请号：US12488911
申请日：2009-06-22
申请人： Feng Han , Hui Cheng , Jiangjian Xiao , Harpreet Singh Sawhney , Sang-Hack Jung , Rakesh Kumar , Yanlin Guo
发明人： Feng Han , Hui Cheng , Jiangjian Xiao , Harpreet Singh Sawhney , Sang-Hack Jung , Rakesh Kumar , Yanlin Guo
IPC分类号： G06K9/62
CPC分类号： G06K9/00342
摘要： The present invention relates to a method and system for creating a strong classifier based on motion patterns wherein the strong classifier may be used to determine an action being performed by a body in motion. When creating the strong classifier, action classification is performed by measuring similarities between features within motion patterns. Embodiments of the present invention may utilize candidate part-based action sets and training samples to train one or more weak classifiers that are then used to create a strong classifier.
摘要翻译：本发明涉及一种用于基于运动模式创建强分类器的方法和系统，其中强分类器可用于确定由运动中的身体执行的动作。当创建强分类器时，通过测量运动模式中的特征之间的相似度来执行动作分类。本发明的实施例可以利用基于候选部分的动作集和训练样本来训练一个或多个弱分类器，然后将其用于创建强分类器。

5. 发明申请

US20120106800A1 3-D MODEL BASED METHOD FOR DETECTING AND CLASSIFYING VEHICLES IN AERIAL IMAGERY 有权
标题翻译：用于在航空影像中检测和分类车辆的基于3-D模型的方法
公开(公告)号：US20120106800A1
公开(公告)日：2012-05-03
申请号：US12913861
申请日：2010-10-28
申请人： Saad Masood Khan , Hui Cheng , Dennis Lee Matthies , Harpreet Singh Sawhney , Sang-Hack Jung , Chris Broaddus , Bogdan Calin Mihai Matei , Ajay Divakaran
发明人： Saad Masood Khan , Hui Cheng , Dennis Lee Matthies , Harpreet Singh Sawhney , Sang-Hack Jung , Chris Broaddus , Bogdan Calin Mihai Matei , Ajay Divakaran
IPC分类号： G06K9/68
CPC分类号： G06K9/00785 , B64C39/024 , B64C2201/123 , B64D47/08 , G06K9/00651 , G06K9/4671 , G06K9/6269 , G06K9/6282 , G06T7/11 , G06T7/20 , G06T2207/10012
摘要： A computer implemented method for determining a vehicle type of a vehicle detected in an image is disclosed. An image having a detected vehicle is received. A number of vehicle models having salient feature points is projected on the detected vehicle. A first set of features derived from each of the salient feature locations of the vehicle models is compared to a second set of features derived from corresponding salient feature locations of the detected vehicle to form a set of positive match scores (p-scores) and a set of negative match scores (n-scores). The detected vehicle is classified as one of the vehicle models models based at least in part on the set of p-scores and the set of n-scores.
摘要翻译：公开了一种用于确定在图像中检测到的车辆的车辆类型的计算机实现的方法。接收具有检测到的车辆的图像。在检测到的车辆上投影出具有显着特征点的多个车辆模型。将来自车辆模型的每个突出特征位置的第一组特征与从所检测到的车辆的相应突出特征位置导出的第二组特征进行比较，以形成一组正的匹配得分（p分数）和一组负面比赛得分（n分）。检测到的车辆至少部分地基于p分数集合和n分数集合被分类为车辆模型模型之一。

6. 发明授权

US08102423B2 Method and system for performing adaptive image acquisition 有权
标题翻译：执行自适应图像采集的方法和系统
公开(公告)号：US08102423B2
公开(公告)日：2012-01-24
申请号：US11200869
申请日：2005-08-10
申请人： Hui Cheng
发明人： Hui Cheng
IPC分类号： H04N7/18
CPC分类号： H04N5/232 , G06K9/0063 , G06K2009/2045 , G06T1/0007 , G06T7/33 , G06T2200/32 , G06T2207/20228 , G06T2207/30181 , G08B13/19643 , G08B13/1965 , H04N5/2224 , H04N7/185
摘要： An adaptive image acquisition system and method that generates virtual view of a surveillance scene to a user (operator), in which, the user operates the system. Through viewing the virtual view, the user controls sensors that create the virtual view. The sensors comprise at least one first sensor having a higher resolution than at least one second sensor. Images from the second sensor are processed to create an image mosaic that is overlaid with images from the higher resolution first sensor. In one embodiment of the invention, the first sensor is moved using Saccade motion. In another embodiment of the invention, a user's intent is used to control the Saccade motion.
摘要翻译：一种自适应图像获取系统和方法，其向用户（操作者）生成监视场景的虚拟视图，其中用户操作系统。通过查看虚拟视图，用户控制创建虚拟视图的传感器。传感器包括至少一个具有比至少一个第二传感器更高分辨率的第一传感器。来自第二传感器的图像被处理以产生覆盖有来自较高分辨率的第一传感器的图像的图像马赛克。在本发明的一个实施例中，使用Saccade运动来移动第一传感器。在本发明的另一个实施例中，用户的意图被用于控制Saccade运动。

7. 发明授权

US07387199B2 Device of handling roller for passbook 有权
标题翻译：存折处理辊的装置
公开(公告)号：US07387199B2
公开(公告)日：2008-06-17
申请号：US11528311
申请日：2006-09-28
申请人： Hui Cheng , Kazushi Yoshida , Tatsuma Suzuki
发明人： Hui Cheng , Kazushi Yoshida , Tatsuma Suzuki
IPC分类号： B65G13/06
CPC分类号： B65H27/00 , B65H2403/735 , B65H2404/1122
摘要： A passbook conveyance roller device comprises a conveyance roller and a pinch roller, which are arranged to be opposed to each other, to convey a passbook. The conveyance roller comprises an inner ring member connected to a drive shaft, a metallic outer ring member, and a rubber member fixed to, for example, an outer peripheral surface of the inner ring member and press fitted into an inner peripheral surface of the outer ring member to give elastic forces to the inner peripheral surface of the outer ring member in a plurality of positions, which are spaced circumferentially at predetermined intervals from one another and arranged in point symmetry. Both the inner ring member and the outer ring member are rotated through the elastic member when a load torque on the outer ring member is less than a set torque set by the elastic forces of the rubber member. Relative slip is generated between the inner peripheral surface of the outer ring member and the rubber member when a load torque on the outer ring member is equal to or larger than the set torque.
摘要翻译：存折传送辊装置包括彼此相对布置的传送辊和夹送辊，以传送存折。传送辊包括连接到驱动轴的内圈构件，金属外圈构件和固定到例如内圈构件的外周面的橡胶构件，并且压配合到外圈的内周面中在多个位置上以规定的间隔彼此间隔设置并以点对称的方式间隔地向外圈构件的内周面施加弹性力。当外圈构件上的负载扭矩小于由橡胶构件的弹力设定的设定扭矩时，内圈构件和外圈构件都通过弹性构件旋转。当外圈构件的负载扭矩等于或大于设定扭矩时，在外圈构件的内周面与橡胶构件之间产生相对滑移。

8. 发明授权

US07218332B2 Method and apparatus for windowing and image rendition 失效
标题翻译：用于窗口和图像再现的方法和装置
公开(公告)号：US07218332B2
公开(公告)日：2007-05-15
申请号：US10135139
申请日：2002-04-30
申请人： Hui Cheng , Ying-wei Lin
发明人： Hui Cheng , Ying-wei Lin
IPC分类号： G06T15/00
CPC分类号： H04N1/00 , G06T11/00 , H04N1/00798
摘要： Systems and methods are presented for processing and rendering image data during a single pass through the image data. A method includes loading scanlines of image data into a rolling band buffer, performing a windowing technique on the image data, and determining if a class change was experienced by any window having a portion in an output scanline of the buffer. The method further includes processing image data in the output scanline for a window portion that experienced a class change, using a blended rendering algorithm. If no class change is detected, the method includes processing image data in the output scanline for the window portion using a class-based rendering algorithm. The method optionally includes rendering processed image data for the output scanline to a rendering device. According to other features, an apparatus includes a rolling band buffer, a windowing processor, class-based rendering algorithms, and a blended rendering algorithm.
摘要翻译：呈现系统和方法，用于在单次传递图像数据期间处理和渲染图像数据。一种方法包括将图像数据的扫描线加载到滚动带缓冲器中，对图像数据执行加窗技术，以及确定是否由具有缓冲器的输出扫描线中的一部分的任何窗口经历了类别改变。该方法还包括使用混合渲染算法来处理经历类别改变的窗口部分的输出扫描线中的图像数据。如果没有检测到类更改，则该方法包括使用基于类的呈现算法来处理窗口部分的输出扫描线中的图像数据。该方法可选地包括将处理的输出扫描线的图像数据渲染到呈现设备。根据其他特征，一种装置包括滚动带缓冲器，加窗处理器，基于类的渲染算法和混合渲染算法。

9. 发明申请

US20070036177A1 Method and apparatus for managing delivery of video over a digital subscriber line 审中-公开
标题翻译：用于管理通过数字用户线路传送视频的方法和装置
公开(公告)号：US20070036177A1
公开(公告)日：2007-02-15
申请号：US11334967
申请日：2006-01-19
申请人： Michael Isnardi , Hui Cheng
发明人： Michael Isnardi , Hui Cheng
IPC分类号： H04J1/00 , H04J3/04
CPC分类号： H04M11/062
摘要： A method and apparatus for managing delivery of video over a digital-subscriber line is provided. The method includes and the apparatus is adapted for receiving at a multiplexer information indicative of an upstream volume of video traffic for termination to the multiplexer, and for controlling the multiplexer in response to the information. Controlling the multiplexer in response to the information may include regulating, in accordance with the upstream volume of traffic, an amount of traffic buffered by the multiplexer.
摘要翻译：提供了一种通过数字用户线路管理视频传送的方法和装置。该方法包括并且该装置适于在多路复用器处接收指示用于终止到多路复用器的视频业务的上行流量的信息，并且响应于该信息来控制多路复用器。响应于该信息来控制多路复用器可以包括根据业务的上行流量来调整由多路复用器缓冲的业务量。

10. 发明授权

US08233704B2 Exemplar-based heterogeneous compositional method for object classification 有权
标题翻译：用于对象分类的基于示例的异构组合方法
公开(公告)号：US08233704B2
公开(公告)日：2012-07-31
申请号：US12136138
申请日：2008-06-10
申请人： Feng Han , Hui Cheng , Jiangjian Xiao , Harpreet Singh Sawhney
发明人： Feng Han , Hui Cheng , Jiangjian Xiao , Harpreet Singh Sawhney
IPC分类号： G06K9/62 , G06E1/00 , G06E3/00 , G06F15/18 , G06G7/00
CPC分类号： G06K9/3241 , G06K9/6256 , G06K9/6292
摘要： A method for automatically generating a strong classifier for determining whether at least one object is detected in at least one image is disclosed, comprising the steps of: (a) receiving a data set of training images having positive images; (b) randomly selecting a subset of positive images from the training images to create a set of candidate exemplars, wherein said positive images include at least one object of the same type as the object to be detected; (c) training a weak classifier based on at least one of the candidate exemplars, said training being based on at least one comparison of a plurality of heterogeneous compositional features located in the at least one image and corresponding heterogeneous compositional features in the one of set of candidate exemplars; (d) repeating steps (c) for each of the remaining candidate exemplars; and (e) combining the individual classifiers into a strong classifier, wherein the strong classifier is configured to determine the presence or absence in an image of the object to be detected.
摘要翻译：公开了一种用于自动生成强分类器以确定在至少一个图像中是否检测到至少一个对象的方法，包括以下步骤：（a）接收具有正图像的训练图像的数据集; （b）从所述训练图像中随机选择正图像的子集以创建一组候选样本，其中所述正图像包括与所述待检测对象相同类型的至少一个对象; （c）基于所述候选样本中的至少一个来训练弱分类器，所述训练基于位于所述至少一个图像中的多个异质成分特征和所述一个图像中的一个中的对应的异质组成特征的至少一个比较候选人样本（d）为每个其余的候选样本重复步骤（c）; 以及（e）将各个分类器组合成强分类器，其中强分类器被配置为确定待检测对象的图像中的存在或不存在。

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