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公开(公告)号：US09165352B2
公开(公告)日：2015-10-20
申请号：US13913606
申请日：2013-06-10
Applicant: XEROX CORPORATION
Inventor： Wencheng Wu , Edul N. Dalal , Orhan Bulan
CPC classification number: G06T5/50 , G06T5/002 , G06T2207/10016 , G06T2207/20032 , G06T2207/20182 , G06T2207/20224 , G06T2207/30232 , G06T2207/30236
Abstract: Methods and systems receive a series of images and compare at least two of the images in the series of images to locate items that are in different positions to identify moving items. Such methods and systems further calculate a measure of the moving items within the series of images. Additionally, such methods and systems perform a continuously variable image correction to remove the moving items from the images to produce a series of corrected images. This “continuously variable image correction” increases the amount of image correction for a relatively higher measure of the moving items and decreases the amount of image correction for a relatively lower measure of the moving items, and does so continuously as the measure of the moving items changes within the series of images.
Abstract translation: 方法和系统接收一系列图像并且比较一系列图像中的至少两个图像以定位处于不同位置的物体以识别移动物品。 这样的方法和系统进一步计算一系列图像内的移动物品的度量。 此外，这样的方法和系统执行连续可变的图像校正以从图像中移除移动项目以产生一系列校正图像。 这种“连续可变图像校正”增加了移动项目的相对较高测量的图像校正量，并且减少了用于移动项目的相对较低测量的图像校正量，并且作为移动项目的度量 一系列图像内的变化。
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12.发明授权公开(公告)号：US09015072B2
公开(公告)日：2015-04-21
申请号：US13970371
申请日：2013-08-19
Applicant: Xerox Corporation
Inventor： Wencheng Wu , Edgar A. Bernal
CPC classification number: G06Q10/087
Abstract: A method, non-transitory computer readable medium, and apparatus for managing inventory are disclosed. For example, the method monitors a region of interest to determine an inventory level based upon a depth image captured by a depth sensing device, calculates a change in a depth in the region of interest from the depth image that is captured and determines a change in the inventory level associated with the change in the depth of the region of interest.
Abstract translation: 公开了一种用于管理库存的方法，非暂时性计算机可读介质和装置。 例如，该方法基于由深度感测装置拍摄的深度图像来监视感兴趣区域以确定库存水平，从捕获的深度图像计算感兴趣区域中的深度的变化，并且确定 与感兴趣区域深度变化相关的库存水平。
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公开(公告)号：US20150103160A1
公开(公告)日：2015-04-16
申请号：US14051225
申请日：2013-10-10
Applicant: Xerox Corporation
Inventor： EDUL N. DALAL , Wencheng Wu
CPC classification number: G01N25/72 , G01M17/027 , G06T7/0004 , G06T7/20 , G06T2207/10016 , G06T2207/10048 , G06T2207/30164
Abstract: A method, non-transitory computer readable medium, and apparatus for detecting defective brakes are disclosed. For example, the method detects that a wheel of a vehicle is in a position to be read by an infrared (IR) thermometer, signals the IR thermometer to take a temperature measurement of a brake of the wheel, receives the temperature measurement of the brake and determines that a defective brake condition exists when the temperature measurement of the brake is outside a temperature range.
Abstract translation: 公开了一种用于检测缺陷制动器的方法，非暂时性计算机可读介质和装置。 例如，该方法检测到车辆的车轮处于通过红外（IR）温度计读取的位置，向红外温度计发信号通知车轮制动器的温度测量，接收制动器的温度测量 并且当制动器的温度测量超出温度范围时，确定存在制动不良状况。
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14.发明申请ROBUST AND COMPUTATIONALLY EFFICIENT VIDEO-BASED OBJECT TRACKING IN REGULARIZED MOTION ENVIRONMENTS 有权在经常运行的环境中稳健和有计划地进行基于视频的物体跟踪公开(公告)号：US20150063628A1
公开(公告)日：2015-03-05
申请号：US14017360
申请日：2013-09-04
Applicant: Xerox Corporation
Inventor： Edgar A. Bernal , Wencheng Wu , Thomas F. Wade , Daniel Hann
IPC: G06K9/00
CPC classification number: G06K9/00771
Abstract: A method and system for video-based object tracking includes detecting an initial instance of an object of interest in video captured of a scene being monitored and establishing a representation of a target object from the initial instance of the object. The dominant motion trajectory characteristic of the target object are then determined and a frame-by-frame location of the target object can be collected in order to track the target object in the video.
Abstract translation: 一种用于基于视频的对象跟踪的方法和系统包括：检测被捕获的场景的视频的感兴趣对象的初始实例，并从对象的初始实例建立目标对象的表示。 然后确定目标对象的主要运动轨迹特征，并且可以收集目标对象的逐帧位置，以便跟踪视频中的目标对象。
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15.发明申请SINGLE CAMERA VIDEO-BASED SPEED ENFORCEMENT SYSTEM WITH A SECONDARY AUXILIARY RGB TRAFFIC CAMERA 有权单相摄像机视频基础速度执行系统与二次辅助RGB交通摄像机公开(公告)号：US20140267733A1
公开(公告)日：2014-09-18
申请号：US13795744
申请日：2013-03-12
Applicant: XEROX CORPORATION
Inventor： Wencheng Wu , Edgar A. Bernal , Robert P. Loce , Thomas F. Wade , Abu Islam
IPC: G08G1/054
CPC classification number: G08G1/054 , G08G1/0175
Abstract: When performing video-based speed enforcement a main camera and a secondary RGB traffic camera are employed to provide improved accuracy of speed measurement and improved evidentiary photo quality compared to single camera approaches. The RGB traffic camera provides sparse secondary video data at a lower cost than a conventional stereo camera. The sparse stereo processing is performed using the main camera data and the sparse RGB camera data to estimate a height of one or more tracked vehicle features, which in turn is used to improve speed estimate accuracy. By using secondary video, spatio-temporally sparse stereo processing is enabled specifically for estimating the height of a vehicle feature above the road surface.
Abstract translation: 当执行基于视频的速度执行时，与单个摄像机方法相比，使用主摄像机和次要RGB业务摄像机来提供改进的速度测量精度和改进的证据照片质量。 RGB传输相机以比传统立体相机低的成本提供稀疏的次要视频数据。 使用主相机数据和稀疏RGB相机数据来执行稀疏立体声处理，以估计一个或多个跟踪的车辆特征的高度，其又用于提高速度估计精度。 通过使用次级视频，专门用于估计路面上方的车辆特征的高度的时空稀疏立体声处理。
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Patent Agency Ranking
公开(公告)号：US20170256165A1
公开(公告)日：2017-09-07
申请号：US15060830
申请日：2016-03-04
Applicant: Xerox Corporation
Inventor： Graham Pennington , Hao Wu , Howard Mizes , Wencheng Wu , Rakesh Kulkarni
CPC classification number: G08G1/147 , G06K9/00771 , G06K9/00812 , G06K9/3208 , G06K9/4604 , G08G1/142 , G08G1/144 , G08G1/146
Abstract: A method, system, and apparatus for parking occupancy detection comprises collecting video of a blockface with at least one video recording module, identifying a number of possible parking spaces along the blockface in the collected video, defining, a region of interest for each of the possible parking spaces, detecting a time dependent occupancy of the defined regions of interest for each of the possible parking spaces, and reporting the time dependent occupancy. Drift correction of the recorded video and ground truth comparisons of occupancy determinations may be provided.
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公开(公告)号：US20160307069A1
公开(公告)日：2016-10-20
申请号：US14686212
申请日：2015-04-14
Applicant: XEROX CORPORATION
Inventor： Wencheng Wu
CPC classification number: G06K9/6255 , G06K9/00771 , G06T7/254 , G06T2207/10016 , G06T2207/10024 , G06T2207/20081 , G06T2207/20224 , G06T2207/30196 , G06T2207/30232 , G06T2207/30236 , G06T2207/30264 , H04N7/181
Abstract: A method for detecting an object includes acquiring a first video of a source domain where a vision-based object detector is trained. Change detection is performed on the first video to collect one or more first localized, unlabeled sample images from the source domain. A second video is acquired of a target domain where the vision-based object detector is used. Change detection is performed on the second video to collect one or more second localized, unlabeled sample images from the target domain. A domain adaptation parameter is determined based on, one or more domain shift properties between the one or more first localized, unlabeled sample images from the source domain and the one or more second localized, unlabeled sample images from the target domain. The vision-based object detector is adapted to be used for object detection in the target domain based on the domain adaptation parameter.
Abstract translation: 一种用于检测对象的方法包括获取对基于视觉的对象检测器进行训练的源域的第一视频。 在第一个视频上执行变化检测，以从源域收集一个或多个第一本地化的未标记的样本图像。 获取使用基于视觉的对象检测器的目标域的第二视频。 在第二视频上执行变化检测以从目标域收集一个或多个第二本地化的未标记的样本图像。 基于来自源域的一个或多个第一局部化未标记的样本图像与来自目标域的一个或多个第二局部化未标记样本图像之间的一个或多个域偏移特性来确定域适配参数。 基于视觉的对象检测器适用于基于域自适应参数在目标域中进行对象检测。
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18.发明申请SYSTEM AND METHOD FOR ACHIEVING COMPUTATIONALLY EFFICIENT MOTION ESTIMATION IN VIDEO COMPRESSION BASED ON MOTION DIRECTION AND MAGNITUDE PREDICTION 有权基于运动方向和磁场预测在视频压缩中实现计算有效运动估计的系统和方法公开(公告)号：US20160142727A1
公开(公告)日：2016-05-19
申请号：US14541550
申请日：2014-11-14
Applicant: Xerox Corporation
Inventor： Edgar A. Bernal , Qun Li , Stuart Schweid , Wencheng Wu
IPC: H04N19/513
CPC classification number: H04N19/57
Abstract: Block-based motion estimation of video compression estimates the direction and magnitude of motion of objects in the scene in a computationally efficient manner and accurately predicts the optimal search direction/neighborhood location for motion vectors, A system can Include a motion detection module that detects apparent motion in the scene, a motion direction and magnitude prediction module that estimates the direction and magnitude of motion of the objects detected to he in motion by the motion detection module, and a block-based, motion estimation module that performs searches in reduced neighborhoods of the target block according to the estimated motion by the motion direction and magnitude prediction module and only for the blocks determined to be in motion by the motion detection module. The Invention is particularly well suited for stationary traffic cameras that monitor roads and highways for traffic law enforcement purposes.
Abstract translation: 视频压缩的基于块的运动估计以计算有效的方式估计场景中的对象的运动的方向和幅度，并且精确地预测用于运动矢量的最佳搜索方向/邻域位置.A系统可以包括检测明显的运动检测模块 在场景中的运动，运动方向和幅度预测模块，其估计由运动检测模块检测到的运动对象的运动的方向和幅度;以及基于块的运动估计模块，其执行在减少的邻域中的搜索 根据由运动方向和幅度预测模块估计的运动的目标块，并且仅针对由运动检测模块确定为运动的块。 本发明特别适用于监视道路和公路的交通执法目的的固定交通照相机。
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19.发明申请VISION-BASED ON-STREET PARKED VEHICLE DETECTION VIA NORMALIZED-VIEW CLASSIFIERS AND TEMPORAL FILTERING 审中-公开基于视觉的道路停车检测通过正则化视图分类器和时间滤波公开(公告)号：US20160093214A1
公开(公告)日：2016-03-31
申请号：US14502045
申请日：2014-09-30
Applicant: Xerox Corporation
Inventor： Wencheng Wu , Hao Wu , Yao Rong Wang , Robert P. Loce , Graham S. Pennington
CPC classification number: G06K9/00812 , G08G1/147
Abstract: A system for estimating parking occupancy includes a vehicle-detection device including an adjustable mast supporting an image capture device at a select height. The image capture device acquires video of a current parking area. A computer processor in communication with the image capture device is configured to receive the video data and define a region of interest in the video data. The processor is further configured to perform a spatial transform on the ROI to transform the ROI to a normalized geometric space. The processor is further configured to apply features of a detected object in the normalized geometric space to a vehicle classifier—previously trained with samples acquired from a normalized camera perspective similar to the normalized geometric space—and determine the occupancy of the current parking area using an output of the classifier.
Abstract translation: 用于估计停车占用的系统包括车辆检测装置，其包括支撑选择高度的图像捕获装置的可调节桅杆。 图像捕获装置获取当前停车区域的视频。 与图像捕获设备通信的计算机处理器被配置为接收视频数据并且定义视频数据中的感兴趣区域。 处理器还被配置为在ROI上执行空间变换以将ROI转换为归一化的几何空间。 处理器还被配置为将归一化几何空间中检测到的物体的特征应用于先前使用从标准化的几何空间类似的归一化相机视角获取的样本进行训练的车辆分类器，并且使用以下方式确定当前停车区的占用 分类器的输出。
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20.发明授权公开(公告)号：US09218579B2
公开(公告)日：2015-12-22
申请号：US13870006
申请日：2013-04-25
Applicant: Xerox Corporation
Inventor： Wencheng Wu , Edul N Dalal
CPC classification number: G06Q10/06 , G06F17/30 , G06K9/00771 , G06K9/00979 , G06K9/033
Abstract: Disclosed embodiments relate to systems and methods for facilitating retrieval of information from an image. The one or more image characteristics are modified to degrade the original image. The degraded image is provided as a first task to at least one first remote worker, the first task corresponds to an activity of tagging one or more regions of interest in the degraded image by the at least one first remote worker. Further, one or more second images are generated based on the one or more tagged regions of interest and are provided as one or more second tasks to at least one second remote worker, the one or more second tasks correspond to an activity of retrieving information from the one or more second images.
Abstract translation: 公开的实施例涉及用于便于从图像检索信息的系统和方法。 一个或多个图像特征被修改以降低原始图像。 将退化的图像作为第一任务提供给至少一个第一远程工作者，第一任务对应于由至少一个第一远程工作者标记劣化图像中的一个或多个感兴趣区域的活动。 此外，基于所述一个或多个标记的感兴趣区域生成一个或多个第二图像，并且被提供给至少一个第二远程工作者的一个或多个第二任务，所述一个或多个第二任务对应于从 一个或多个第二图像。
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