公开(公告)号：US20120106800A1

公开(公告)日：2012-05-03

申请号：US12913861

申请日：2010-10-28

Applicant: Saad Masood Khan ,  Hui Cheng ,  Dennis Lee Matthies ,  Harpreet Singh Sawhney ,  Sang-Hack Jung ,  Chris Broaddus ,  Bogdan Calin Mihai Matei ,  Ajay Divakaran

Inventor： Saad Masood Khan ,  Hui Cheng ,  Dennis Lee Matthies ,  Harpreet Singh Sawhney ,  Sang-Hack Jung ,  Chris Broaddus ,  Bogdan Calin Mihai Matei ,  Ajay Divakaran

IPC: G06K9/68

CPC classification number: G06K9/00785 ,  B64C39/024 ,  B64C2201/123 ,  B64D47/08 ,  G06K9/00651 ,  G06K9/4671 ,  G06K9/6269 ,  G06K9/6282 ,  G06T7/11 ,  G06T7/20 ,  G06T2207/10012

Abstract: 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.

Abstract translation: 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。

公开(公告)号：US08102423B2

公开(公告)日：2012-01-24

申请号：US11200869

申请日：2005-08-10

Applicant: Hui Cheng

Inventor： Hui Cheng

IPC: H04N7/18

CPC classification number: H04N5/232 ,  G06K9/0063 ,  G06K2009/2045 ,  G06T1/0007 ,  G06T7/33 ,  G06T2200/32 ,  G06T2207/20228 ,  G06T2207/30181 ,  G08B13/19643 ,  G08B13/1965 ,  H04N5/2224 ,  H04N7/185

Abstract: 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.

Abstract translation: 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。

公开(公告)号：US07387199B2

公开(公告)日：2008-06-17

申请号：US11528311

申请日：2006-09-28

Applicant: Hui Cheng ,  Kazushi Yoshida ,  Tatsuma Suzuki

Inventor： Hui Cheng ,  Kazushi Yoshida ,  Tatsuma Suzuki

IPC: B65G13/06

CPC classification number: B65H27/00 ,  B65H2403/735 ,  B65H2404/1122

Abstract: 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.

Abstract translation: 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。

公开(公告)号：US07218332B2

公开(公告)日：2007-05-15

申请号：US10135139

申请日：2002-04-30

Applicant: Hui Cheng ,  Ying-wei Lin

Inventor： Hui Cheng ,  Ying-wei Lin

IPC: G06T15/00

CPC classification number: H04N1/00 ,  G06T11/00 ,  H04N1/00798

Abstract: 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.

Abstract translation: 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。

公开(公告)号：US20070036177A1

公开(公告)日：2007-02-15

申请号：US11334967

申请日：2006-01-19

Applicant: Michael Isnardi ,  Hui Cheng

Inventor： Michael Isnardi ,  Hui Cheng

IPC: H04J1/00 ,  H04J3/04

CPC classification number: H04M11/062

Abstract: 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.

Abstract translation: 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。

公开(公告)号：US08233704B2

公开(公告)日：2012-07-31

申请号：US12136138

申请日：2008-06-10

Applicant: Feng Han ,  Hui Cheng ,  Jiangjian Xiao ,  Harpreet Singh Sawhney

Inventor： Feng Han ,  Hui Cheng ,  Jiangjian Xiao ,  Harpreet Singh Sawhney

IPC: G06K9/62 ,  G06E1/00 ,  G06E3/00 ,  G06F15/18 ,  G06G7/00

CPC classification number: G06K9/3241 ,  G06K9/6256 ,  G06K9/6292

Abstract: 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.

Abstract translation: 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。

公开(公告)号：US20090153661A1

公开(公告)日：2009-06-18

申请号：US12271173

申请日：2008-11-14

Applicant: Hui Cheng ,  Jiangjian Xiao ,  Harpreet Sawhney

Inventor： Hui Cheng ,  Jiangjian Xiao ,  Harpreet Sawhney

IPC: H04N7/18

CPC classification number: G06T7/20 ,  G06K9/00771 ,  G06K2009/3291

Abstract: A computer implemented method for deriving an attribute entity network (AEN) from video data is disclosed, comprising the steps of: extracting at least two entities from the video data; tracking the trajectories of the at least two entities to form at least two tracks; deriving at least one association between at least two entities by detecting at least one event involving the at least two entities, said detecting of at least one event being based on detecting at least one spatio-temporal motion correlation between the at least two entities; and constructing the AEN by creating a graph wherein the at least two objects form at least two nodes and the at least one association forms a link between the at least two nodes.

Abstract translation: 公开了一种用于从视频数据中导出属性实体网络（AEN）的计算机实现方法，包括以下步骤：从视频数据中提取至少两个实体; 跟踪所述至少两个实体的轨迹以形成至少两个轨道; 通过检测涉及所述至少两个实体的至少一个事件来导出至少两个实体之间的至少一个关联，所述至少一个事件的检测是基于检测所述至少两个实体之间的至少一个时空运动相关性; 以及通过创建图形来构建所述AEN，其中所述至少两个对象形成至少两个节点，并且所述至少一个关联形成所述至少两个节点之间的链接。

公开(公告)号：US20080310737A1

公开(公告)日：2008-12-18

申请号：US12136138

申请日：2008-06-10

Applicant: Feng Han ,  Hui Cheng ,  Jiangjian Xiao ,  Harpreet Singh Sawhney

Inventor： Feng Han ,  Hui Cheng ,  Jiangjian Xiao ,  Harpreet Singh Sawhney

IPC: G06K9/62

CPC classification number: G06K9/3241 ,  G06K9/6256 ,  G06K9/6292

Abstract: 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.

Abstract translation: 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。

公开(公告)号：US07119924B2

公开(公告)日：2006-10-10

申请号：US09966030

申请日：2001-09-28

Applicant: Salil Prabhakar ,  Raja Bala ,  Hui Cheng ,  John C. Handley ,  Ying-wei Lin

Inventor： Salil Prabhakar ,  Raja Bala ,  Hui Cheng ,  John C. Handley ,  Ying-wei Lin

IPC: G06F15/00

CPC classification number: G06T7/90 ,  G06T7/11 ,  G06T2207/30176

Abstract: A process for color graphics image processing, related to detection and segmentation of sweeps, is provided. An input graphics image is transformed into a three-dimensional histogram in an appropriate color space 104 (e.g., CIELUV). Two-dimensional histograms are estimated from the three-dimensional histogram 106. The two-dimensional histograms are processed to detect and segment sweeps 108. Sweep segment information from the processing of the two-dimensional histograms is combined 110. The combined sweep segment information is used to process the input graphics image to identify and segment sweeps 112. Post-processing may be optionally and selectively used to reject false alarms (i.e., areas falsely identified as sweeps) 114.

公开(公告)号：US20060077255A1

公开(公告)日：2006-04-13

申请号：US11200869

申请日：2005-08-10

Applicant: Hui Cheng

Inventor： Hui Cheng

IPC: H04N7/18 ,  H04N9/47

CPC classification number: H04N5/232 ,  G06K9/0063 ,  G06K2009/2045 ,  G06T1/0007 ,  G06T7/33 ,  G06T2200/32 ,  G06T2207/20228 ,  G06T2207/30181 ,  G08B13/19643 ,  G08B13/1965 ,  H04N5/2224 ,  H04N7/185

Abstract: 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.

Abstract translation: 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。