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91.发明申请公开(公告)号：US20160094827A1
公开(公告)日：2016-03-31
申请号：US14498255
申请日：2014-09-26
Applicant: Xerox Corporation
Inventor： Qun Li , Edgar A. Bernal
CPC classification number: H04N13/106 , H04N5/23245 , H04N5/332 , H04N13/204 , H04N13/296
Abstract: Methods and systems obtain data representative of a scene across spectral bands using a compressive-sensing-based hyperspectral imaging system comprising optical elements. These methods and systems sample two modes of a three-dimensional tensor corresponding to a hyperspectral representation of the scene using sampling matrices, one for each of the two modes, to generate a modified three-dimensional tensor. After sampling the two modes, such methods and systems sample a third mode of the modified three-dimensional tensor using a third sampling matrix to generate a further modified three-dimensional tensor. Then, the methods and systems reconstruct hyperspectral data from the further modified three-dimensional tensor using the sampling matrices and the third sampling matrix.
Abstract translation: 方法和系统使用包含光学元件的基于压缩感测的高光谱成像系统获得表示跨频谱带的场景的数据。 这些方法和系统采用对应于场景的高光谱表示的三维张量的两种模式，使用采样矩阵，一种用于两种模式中的每一种，以生成修改的三维张量。 在对两种模式进行采样之后，这种方法和系统使用第三采样矩阵对修改的三维张量的第三模式进行采样，以产生进一步修改的三维张量。 然后，方法和系统使用采样矩阵和第三采样矩阵，从进一步修正的三维张量重构高光谱数据。
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公开(公告)号：US09251416B2
公开(公告)日：2016-02-02
申请号：US14083861
申请日：2013-11-19
Applicant: Xerox Corporation
Inventor： Wencheng Wu , Edgar A. Bernal
IPC: G06K9/00
CPC classification number: G06K9/00624 , G06K9/00771 , G06T7/194 , G06T7/215 , G06T7/223 , G06T7/254 , G06T7/269 , G06T2207/20036 , G06T2207/20076 , G06T2207/30232
Abstract: A method and system for efficient non-persistent object motion detection comprises evaluating a video segment to identify at least two first pixel classes corresponding to a plurality of stationary pixels and a plurality of pixels in apparent motion, and evaluating the video segment to identify at least two second pixel classes corresponding to a background and a foreground indicative of the presence of a non-persistent object. The first pixel classes and the second pixel classes can be combined to define a final motion mask in the selected video segment indicative of the presence of a non-persistent object. An output can provide an indication that the object is in motion.
Abstract translation: 一种用于高效非持续对象运动检测的方法和系统，包括：评估视频段以识别对应于多个静止像素和明显运动中的多个像素的至少两个第一像素类别，以及评估视频段至少识别 对应于背景的两个第二像素类和指示非持久对象的存在的前景。 可以组合第一像素类和第二像素类以在所选择的视频段中定义指示非持久对象的存在的最终运动掩码。 输出可以提供对象运动的指示。
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93.发明授权Method and apparatus for compressive imaging of a scene using a single pixel camera 有权使用单像素摄像机对场景进行压缩成像的方法和装置公开(公告)号：US09219867B2
公开(公告)日：2015-12-22
申请号：US14227595
申请日：2014-03-27
Applicant: Xerox Corporation
Inventor： Xuejin Wen , Edgar A. Bernal , Lalit K. Mestha
CPC classification number: H03M7/3062 , H04N5/2254 , H04N5/238
Abstract: A method, non-transitory computer readable medium, and apparatus for compressive imaging of a scene in a single pixel camera are disclosed. For example, the method moves a pseudo-random pattern media behind an aperture until a pseudo-random sampling function of a plurality of pseudo-random sampling functions is viewable through the aperture, records a value of an intensity of a modulated light from the scene with a detector, wherein the intensity of the modulated light is representative of an inner product between the pseudo-random sampling function and an image of the scene and repeats the moving and the recording until a necessary number of a plurality of inner products are processed.
Abstract translation: 公开了一种用于单个像素摄像机中的场景的压缩成像的方法，非暂时计算机可读介质和装置。 例如，该方法在孔的后方移动伪随机图案介质，直到通过孔径可以看到多个伪随机取样函数的伪随机采样函数，记录来自场景的调制光的强度值 具有检测器，其中调制光的强度表示伪随机采样函数和场景图像之间的内积，并重复移动和记录，直到处理了多个内积的必要数量。
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94.发明授权Single camera video-based speed enforcement system with a secondary auxiliary RGB traffic camera 有权单摄像机基于视频的速度执行系统，辅助辅助RGB流量摄像头公开(公告)号：US09183746B2
公开(公告)日：2015-11-10
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
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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95.发明申请METHOD AND SYSTEM FOR AUTOMATED SEQUENCING OF VEHICLES IN SIDE-BY-SIDE DRIVE-THRU CONFIGURATIONS VIA APPEARANCE-BASED CLASSIFICATION 有权通过基于外观的分类，在侧面驱动 - 配置中的车辆自动排序的方法和系统公开(公告)号：US20150310615A1
公开(公告)日：2015-10-29
申请号：US14632587
申请日：2015-02-26
Applicant: Xerox Corporation
Inventor： Orhan Bulan , Edgar A. Bernal , Aaron M. Burry , Yusuf Oguzhan Artan
CPC classification number: G06K9/00785 , G06K9/00771 , G06K9/4609 , G06K9/6212 , G06K9/6267 , G06Q50/12 , G06T7/0044 , G06T7/20 , G06T7/74 , G06T2207/20081 , G06T2207/30236 , G06T2207/30248 , H04N5/23229
Abstract: This disclosure provides a method and system for automated sequencing of vehicles in side-by-side drive-thru configurations via appearance-based classification. According to an exemplary embodiment, an automated sequencing method includes computer-implemented method of automated sequencing of vehicles in a side-by-side drive-thru, the method comprising: a) an image capturing device capturing video of a merge-point area associated with multiple lanes of traffic merging; b) detecting in the video a vehicle as it traverses the merge-point area; c) classifying the detected vehicle associated with traversing the merge-point area as coming from one of the merging lanes; and d) aggregating vehicle classifications performed in step c) to generate a merge sequence of detected vehicles.
Abstract translation: 本公开提供了一种通过基于外观的分类来并行驱动通过配置的车辆的自动排序的方法和系统。 根据示例性实施例，自动排序方法包括以并行驱动的车辆的自动排序的计算机实现的方法，所述方法包括：a）图像捕获装置，其捕获与相关联的合并点区域的视频 多个车道合并; b）当车辆横穿合并点区域时，视频中检测车辆; c）将与遍历合并点区域相关联的检测到的车辆分类为来自合并车道之一; 以及d）聚合在步骤c）中执行的车辆分类，以产生检测到的车辆的合并序列。
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Patent Agency Ranking
96.发明申请SYSTEMS AND METHODS FOR COMPUTER VISION BACKGROUND ESTIMATION USING FOREGROUND-AWARE STATISTICAL MODELS 有权用于计算机视觉的系统和方法使用前兆统计模型的背景估计公开(公告)号：US20150310297A1
公开(公告)日：2015-10-29
申请号：US14262360
申请日：2014-04-25
Applicant: Xerox Corporation
Inventor： Qun Li , Edgar A. Bernal , Robert P. Loce
CPC classification number: G06T7/194 , G06K9/00785 , G06K9/342 , G06K9/4652 , G06T7/11 , G06T7/174 , G06T2207/10016 , G06T2207/20112 , G06T2207/30232 , G06T2207/30236
Abstract: Systems and methods are disclosed for background modeling in a computer vision system for enabling foreground object detection. A video acquisition model receives video data from a sequence of frames. A fit test module identifies a foreground object from the video data and defines a foreground mask representative of the identified foreground object. A foreground-aware background estimation module defines a first background model from the video data and then further defines an updated background model from an association of a current frame of the video data, the first background model and the foreground mask.
Abstract translation: 公开了用于计算机视觉系统中背景建模的系统和方法，以实现前景对象检测。 视频采集模型从一系列帧接收视频数据。 拟合测试模块从视频数据识别前景对象，并定义表示所识别的前景对象的前景掩码。 前景感知背景估计模块从视频数据定义第一背景模型，然后从视频数据的当前帧，第一背景模型和前景掩码的关联中进一步定义更新的背景模型。
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97.发明申请STATIC OCCLUSION HANDLING USING DIRECTIONAL PIXEL REPLICATION IN REGULARIZED MOTION ENVIRONMENTS 有权在定期运动环境中使用方向像素再现的静态处理公开(公告)号：US20150310273A1
公开(公告)日：2015-10-29
申请号：US14262276
申请日：2014-04-25
Applicant: Xerox Corporation
Inventor： Matthew Adam Shreve , Qun Li , Edgar A. Bernal , Robert P. Loce
CPC classification number: G06K9/00624 , G06K9/46 , G06K9/52 , G06K2009/4666 , G06T5/005 , G06T5/50 , G06T7/20 , G06T7/246 , G06T2207/10016 , G06T2207/30236 , G06T2207/30241
Abstract: This disclosure provides a static occlusion handling method and system for use with appearance-based video tracking algorithms where static occlusions are present. The method and system assumes that the objects to be tracked move in according to structured motion patterns within a scene, such as vehicles moving along a roadway. A primary concept is to replicate pixels associated with the tracked object from previous frames to current or future frames when the tracked object coincides with a static occlusion, where the predicted motion of the tracked object is a basis for replication of the pixels.
Abstract translation: 本公开提供了一种静态遮挡处理方法和系统，用于与存在静态遮挡的基于外观的视频跟踪算法。 方法和系统假设要跟踪的对象根据场景内的结构化运动模式移动，例如沿着道路行驶的车辆。 主要概念是当被跟踪的对象与静态遮挡一致时，将跟踪对象与先前帧相关联的像素复制到当前或将来的帧，其中跟踪对象的预测运动是像素复制的基础。
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98.发明申请EFFICIENT METHOD OF OFFLINE TRAINING A SPECIAL-TYPE PARKED VEHICLE DETECTOR FOR VIDEO-BASED ON-STREET PARKING OCCUPANCY DETECTION SYSTEMS 有权离线培训的有效方法基于视频的街上停车场检测系统的特殊类型的停车检测器公开(公告)号：US20150278609A1
公开(公告)日：2015-10-01
申请号：US14226078
申请日：2014-03-26
Applicant: XEROX CORPORATION
Inventor： Wencheng Wu , Edgar A. Bernal , Yao Rong Wang , Robert P. Loce , Orhan Bulan
CPC classification number: G06K9/00785 , G06K9/3241 , G06K9/46 , G06K9/52 , G06K9/6256 , G06K9/6267 , G06K2009/4666
Abstract: A method for training a vehicle detection system used in a street occupancy estimation of stationary vehicles. The method includes defining first and second areas on an image plane of an image capture device associated with monitoring for detection of vehicles. The method includes receiving video-data from a sequence of frames captured from the image capture device. The method includes determining candidate frames that include objects relevant to a classification task in the second area. The method includes extracting the objects from the candidate frames, extracting features of each extracted object, and assigning labels to the each extracted object. The method includes training at least one classifier using the labels and extracted features. The method includes using the at least one trained classifier to classify a stationary vehicle detected in the first area.
Abstract translation: 一种在固定车辆的街道占用估计中使用的车辆检测系统的训练方法。 该方法包括在与用于检测车辆的监视相关联的图像捕获装置的图像平面上限定第一和第二区域。 该方法包括从从图像捕获设备捕获的帧序列中接收视频数据。 该方法包括确定包括与第二区域中的分类任务相关的对象的候选帧。 该方法包括从候选帧中提取对象，提取每个提取的对象的特征，以及为每个提取的对象分配标签。 该方法包括使用标签和提取的特征来训练至少一个分类器。 该方法包括使用至少一个经过训练的分类器对在第一区域中检测到的静止车辆进行分类。
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公开(公告)号：US20150248590A1
公开(公告)日：2015-09-03
申请号：US14195036
申请日：2014-03-03
Applicant: Xerox Corporation
Inventor： Qun Li , Edgar A. Bernal , Aaron Michael Burry , Peter Paul , Robert P. Loce
CPC classification number: G06T7/194 , G06K9/00785 , G06K9/342 , G06K9/4652 , G06T7/11 , G06T7/174 , G06T2207/10016 , G06T2207/20112 , G06T2207/30232 , G06T2207/30236
Abstract: A method for processing an image of a scene of interest includes receiving an original target image of a scene of interest at an image processing device from an image source device, the original target image exhibiting shadowing effects associated with the scene of interest when the original target image was captured, the original target image comprising a plurality of elements and representing an instantaneous state for the scene of interest, pre-processing the original target image using a modification identification algorithm to identify elements of the original target image to be modified, and generating a copy mask with a mask region representing the elements to be modified and a non-mask region representing other elements of the original target image. An image processing device for processing an image of a scene of interest and a non-transitory computer-readable medium are also provided.
Abstract translation: 用于处理感兴趣场景的图像的方法包括：从图像源装置在图像处理装置处接收感兴趣场景的原始目标图像，原始目标图像在原始目标时显示与感兴趣场景相关联的阴影效果 拍摄图像，原始目标图像包括多个元素并表示感兴趣场景的瞬时状态，使用修改识别算法对原始目标图像进行预处理，以识别要修改的原始目标图像的元素，并且生成 具有表示要修改的元素的掩模区域的复制掩模和表示原始目标图像的其他元素的非掩模区域。 还提供了一种用于处理感兴趣场景的图像和非暂时性计算机可读介质的图像处理装置。
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100.发明申请公开(公告)号：US20150229851A1
公开(公告)日：2015-08-13
申请号：US14178904
申请日：2014-02-12
Applicant: Xerox Corporation
Inventor： Peter J. Nystrom , Lalit K. Mestha , Edgar A. Bernal , Xuejin Wen , Peter Gulvin
CPC classification number: H04N5/332 , G01J3/021 , G01J3/0229 , G01J3/0264 , G01J3/26 , G01J3/2823 , G01J3/2846 , G02B5/204 , H04N5/335
Abstract: A method is provided for using a single-pixel imager in order to spatially reconstruct an image of a scene. The method can comprise the following: configuring a light filtering device including an array of imaging elements to a spatially varying optical filtering process of incoming light according to a series of spatial patterns corresponding to sampling functions. The light filtering device can be a transmissive filter including a first membrane, a second membrane, and a variable gap therebetween. The method further comprises tuning a controller for manipulating a variable dimension of the gap; and, measuring, using a photodetector of the single-pixel imager, a magnitude of an intensity of the filtered light across pixel locations in the series of spatial patterns. The magnitude of the intensity can be equivalent to an integral value of the scene across the pixel locations.
Abstract translation: 提供了一种用于使用单像素成像器以便空间重建场景的图像的方法。 该方法可以包括以下：根据与采样功能相对应的一系列空间模式，将包括成像元件阵列的光滤波装置配置到入射光的空间变化的光学滤波处理。 光过滤装置可以是包括第一膜，第二膜和它们之间的可变间隙的透射过滤器。 该方法还包括调整控制器以操纵间隙的可变尺寸; 以及使用所述单像素成像器的光电检测器测量所述一系列空间图案中的像素位置之间的经过滤光的强度的大小。 强度的大小可以等于像素位置上的场景的积分值。
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