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公开(公告)号：US11302191B2
公开(公告)日：2022-04-12
申请号：US15004832
申请日：2016-01-22
Applicant: Xerox Corporation
Inventor： Howard Mizes , Rakesh Suresh Kulkarni , Peter Paul
Abstract: A method, non-transitory computer readable medium and apparatus for calculating a by spot occupancy of a parking lot are disclosed. For example, the method includes receiving an indication of a triggering event, sending a query to receive a first image and a second image in response to the triggering event, receiving the first image and the second image, analyzing the first image and the second image to determine a change in an occupancy status of a parking spot within the parking lot and calculating the by spot occupancy of the parking lot based on the change in the occupancy status of the parking spot.
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公开(公告)号：US09946936B2
公开(公告)日：2018-04-17
申请号：US15096483
申请日：2016-04-12
Applicant: Xerox Corporation
Inventor： Howard A. Mizes , Rakesh S. Kulkarni , Peter Paul
CPC classification number: G06K9/00785 , G06K9/00718 , G06K9/00812 , G06K9/3233 , G06K9/6269 , G06K9/6284 , G06T2207/30264 , H04N7/181
Abstract: A method and system for parking occupancy detection comprises collecting video of the parking facility with a video capturing device, counting an occupancy of a parking facility using at least one sensor to establish a sensor occupancy count, classifying each of a plurality of parking spots as occupied or vacant with a classifier according to the classification threshold in order to establish a video occupancy count, determining a difference between the sensor occupancy count and the video occupancy count, and setting the sensor occupancy count to equal the video occupancy count if the difference between the sensor occupancy count and the video occupancy count exceeds a difference threshold.
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公开(公告)号：US09760783B2
公开(公告)日：2017-09-12
申请号：US14273774
申请日：2014-05-09
Applicant: Xerox Corporation
Inventor： Beilei Xu , Peter Paul , Florent Perronnin
CPC classification number: G06K9/00838 , B60R1/00 , G08G1/04
Abstract: A method, system, and apparatus for vehicle occupancy detection comprises collecting image data of a vehicle, creating a first value according to a plurality of characteristics of a driver position of the vehicle, and then creating at least one other value according to a plurality of characteristics of at least one other candidate occupant position in the vehicle. The characteristics of the driver position of the vehicle and candidate occupant position of the vehicle are compared in order to determine the vehicle occupancy.
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公开(公告)号：US20150363758A1
公开(公告)日：2015-12-17
申请号：US14303809
申请日：2014-06-13
Applicant: XEROX CORPORATION
Inventor： Wencheng Wu , Steven R. Moore , Thomas F. Wade , Dennis L. Venable , Adrien P. Côté , Peter Paul
CPC classification number: G06Q20/201 , G06K9/00463 , G06K9/00664 , G06K9/183 , G06K9/2054 , G06Q10/087 , G06T7/74 , G06T2207/20016 , G06T2207/30252 , G07F9/023
Abstract: A store profile generation system includes a mobile base and an image capture assembly mounted on the base. The assembly includes at least one image capture device for acquiring images of product display units in a product facility, product labels being associated with the product display units which include product-related data. A control unit acquires the images captured by the at least one image capture device at a sequence of locations of the mobile base in the product facility. The control unit extracts the product-related data from the acquired images and constructs a store profile indicating locations of the product labels throughout the product facility, based on the extracted product-related data. The store profile can be used for generating new product labels for a sale in an appropriate order for a person to match to the appropriate locations in a single pass through the store.
Abstract translation: 商店简档生成系统包括移动基座和安装在基座上的图像捕捉组件。 组件包括至少一个用于获取产品设备中的产品显示单元的图像的图像捕获设备，与包括产品相关数据的产品显示单元相关联的产品标签。 控制单元在产品设备中的移动基站的位置的顺序获取由至少一个图像捕获设备捕获的图像。 控制单元从所获取的图像中提取与产品相关的数据，并且基于提取的产品相关数据构建指示产品标签在整个产品设施中的位置的商店简档。 商店简介可以用于生成新的产品标签，以适当的顺序进行销售，以便人们在单次通过商店中与适当的位置相匹配。
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公开(公告)号：US20150286885A1
公开(公告)日：2015-10-08
申请号：US14614746
申请日：2015-02-05
Applicant: Xerox Corporation
Inventor： Orhan Bulan , Yusuf O. Artan , Robert P. Loce , Peter Paul
CPC classification number: G06K9/00845 , G06K9/4642
Abstract: A system and method for detecting electronic device use by a driver of a vehicle including acquiring an image including a vehicle from an associated image capture device positioned to view oncoming traffic, locating a windshield region of the vehicle in the captured image, processing pixels of the windshield region of the image for computing a feature vector describing the windshield region of the vehicle, applying the feature vector to a classifier for classifying the image into respective classes including at least classes for candidate electronic device use and candidate electronic device non-use, and outputting the classification.
Abstract translation: 一种用于检测车辆驾驶员的电子设备使用的系统和方法，包括从相关联的图像捕获装置获取包括车辆的图像，定位成查看迎面而来的交通，将所述车辆的挡风玻璃区域定位在所捕获的图像中，处理所述车辆的像素 用于计算描述车辆挡风玻璃区域的特征矢量的图像的挡风玻璃区域，将特征矢量应用于分类器，用于将图像分类为至少包括用于候选电子设备使用的类别和候选电子设备不使用的相应等级，以及 输出分类。
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Patent Agency Ranking
公开(公告)号：US09100572B2
公开(公告)日：2015-08-04
申请号：US13902183
申请日：2013-05-24
Applicant: XEROX CORPORATION
Inventor： Jose A. Rodriguez-Serrano , Peter Paul , Florent Perronnin
CPC classification number: H04N5/23245 , G06K9/00825 , G06K9/036 , H04N5/23222 , H04N5/2354
Abstract: A system and method for triggering image re-capture in image processing by receiving a first image captured using a first mode, performing a computer vision task on the first image to produce a first result, generating a confidence score of the first result using a machine learning technique, triggering an image re-capture using a second mode in response to the confidence score of the first result, and performing the computer vision task on a result of the image recapture using the second mode.
Abstract translation: 一种用于通过接收使用第一模式捕获的第一图像来触发图像处理中的图像再捕获的系统和方法，对所述第一图像执行计算机视觉任务以产生第一结果，使用机器产生所述第一结果的置信度得分 学习技术，响应于第一结果的置信度，触发使用第二模式的图像重新捕获，以及使用第二模式对图像重新捕获的结果执行计算机视觉任务。
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17.发明授权Methods and systems for reducing memory footprints associated with classifiers 有权减少与分类器相关联的内存占用的方法和系统公开(公告)号：US09025865B2
公开(公告)日：2015-05-05
申请号：US13746412
申请日：2013-01-22
Applicant: Xerox Corporation
Inventor： Vladimir Kozitsky , Aaron Michael Burry , Peter Paul
CPC classification number: A47C7/14 , B60N2/02 , B60N2/1803 , B60N2/1835 , B60N2/1864 , B60N2002/0236 , G06K9/3258 , G06K9/623 , G06K9/6267 , G06K2009/4666 , G06K2209/01 , G06K2209/15
Abstract: Methods and systems for reducing the required footprint of SNoW-based classifiers via optimization of classifier features. A compression technique involves two training cycles. The first cycle proceeds normally and the classifier weights from this cycle are used to rank the Successive Mean Quantization Transform (SMQT) features using several criteria. The top N (out of 512 features) are then chosen and the training cycle is repeated using only the top N features. It has been found that OCR accuracy is maintained using only 60 out of 512 features leading to an 88% reduction in RAM utilization at runtime. This coupled with a packing of the weights from doubles to single byte integers added a further 8× reduction in RAM footprint or a reduction of 68× over the baseline SNoW method.
Abstract translation: 通过优化分类器功能来减少基于SNoW的分类器所需占用面积的方法和系统。 压缩技术涉及两个训练周期。 第一个周期正常进行，并且使用来自该周期的分类器权重使用几个标准对连续平均量化变换（SMQT）特征进行排序。 然后选择顶部N（512个特征之一），并且仅使用前N个特征重复训练周期。 已经发现，使用仅512个特征中的60个来维持OCR精度，导致运行时RAM利用率降低88％。 这加上权重从双精度到单字节整数的加载，增加了RAM占用的8倍减少或基线SNoW方法减少了68倍。
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公开(公告)号：US20150116493A1
公开(公告)日：2015-04-30
申请号：US14274315
申请日：2014-05-09
Applicant: Xerox Corporation
Inventor： Raja Bala , Edgar Bernal , Aaron Burry , Peter Paul , David Chuang
CPC classification number: G06K9/00845 , G06K9/00281 , G06K9/6277
Abstract: Methods and systems for continuously monitoring the gaze direction of a driver of a vehicle over time. Video is received, which is captured by a camera associated with, for example, a mobile device within a vehicle, the camera and/or mobile device mounted facing the driver of the vehicle. Frames can then be extracted from the video. A facial region can then be detected, which corresponds to the face of the driver within the extracted frames. Features descriptors can then be computed from the facial region. A gaze classifier derived from the vehicle, the driver, and the camera can then be applied, wherein the gaze classifier receives the feature descriptors as inputs and outputs at least one label corresponding to one or more predefined finite number of gaze classes to identify the gaze direction of the driver of the vehicle.
Abstract translation: 随着时间的推移，持续监控车辆驾驶员凝视方向的方法和系统。 接收到视频，其由与例如车辆内的移动设备相关联的摄像机捕获，相机和/或移动设备面向车辆驾驶员安装。 然后可以从视频中提取帧。 然后可以检测到面部区域，其对应于所提取的帧内的驾驶员的脸部。 然后可以从面部区域计算特征描述符。 然后可以应用从车辆，驾驶员和照相机得到的注视分类器，其中注视分类器接收特征描述符作为输入，并且输出与一个或多个预定义的有限数量的注视类别对应的至少一个标签，以识别注视 车辆司机的方向。
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公开(公告)号：US20140347511A1
公开(公告)日：2014-11-27
申请号：US13902183
申请日：2013-05-24
Applicant: XEROX CORPORATION
Inventor： Jose A. Rodriguez-Serrano , Peter Paul , Florent Perronnin
IPC: H04N5/225
CPC classification number: H04N5/23245 , G06K9/00825 , G06K9/036 , H04N5/23222 , H04N5/2354
Abstract: A system and method for triggering image re-capture in image processing by receiving a first image captured using a first mode, performing a computer vision task on the first image to produce a first result, generating a confidence score of the first result using a machine learning technique, triggering an image re-capture using a second mode in response to the confidence score of the first result, and performing the computer vision task on a result of the image recapture using the second mode.
Abstract translation: 一种用于通过接收使用第一模式捕获的第一图像来触发图像处理中的图像再捕获的系统和方法，对所述第一图像执行计算机视觉任务以产生第一结果，使用机器产生所述第一结果的置信度得分 学习技术，响应于第一结果的置信度，触发使用第二模式的图像重新捕获，以及使用第二模式对图像重新捕获的结果执行计算机视觉任务。
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20.发明申请METHOD AND APPARATUS FOR COMPENSATION OF BANDING FROM MULTIPLE SOURCES IN MARKING PLATFORM 审中-公开用于补偿标记平台中多个来源的方法和装置公开(公告)号：US20130216248A1
公开(公告)日：2013-08-22
申请号：US13855322
申请日：2013-04-02
Applicant: Xerox Corporation
Inventor： Palghat S. Ramesh , Peter Paul
IPC: G03G15/00
CPC classification number: G03G15/5058 , G03G15/0189 , G03G15/5062
Abstract: A method for compensation of banding in a marking platform includes: initiating a calibration stage; marking a test pattern over multiple intervals of a lowest fundamental frequency among marking modules; obtaining image data for the test pattern from a sensor; obtaining 1× signals from sensors associated with the marking modules; and processing the image data in relation to the 1× signals to form banding profiles for multiple marking modules. Alternatively, the method may include: processing image data in relation to 1× signals to form banding profiles for multiple marking modules; determining amplitudes in multiple banding profiles exceeds a threshold to identify dominant banding profiles; and processing dominant banding profiles to form dominant banding signatures. Alternatively, the method may include: initiating a correction stage; obtaining 1× signals from sensors associated with dominant marking modules; and periodically processing dominant banding signatures and 1× signals to determine a banding compensation value.
Abstract translation: 用于补偿标记平台中的条带的方法包括：启动校准阶段; 在标记模块之间的最低基频的多个间隔上标记测试图案; 从传感器获取测试图案的图像数据; 从与标记模块相关的传感器获取1×信号; 并处理与1×信号相关的图像数据，以形成多个标记模块的条带轮廓。 或者，该方法可以包括：处理与1×信号相关的图像数据，以形成多个标记模块的条带轮廓; 确定多个条带轮廓中的幅度超过阈值以识别主要条带轮廓; 并处理主要条带轮廓以形成主要条带签名。 或者，该方法可以包括：启动校正阶段; 从与主要标记模块相关的传感器获取1×信号; 并定期处理主要条带签名和1×信号以确定条带补偿值。
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