公开(公告)号：US20140169633A1

公开(公告)日：2014-06-19

申请号：US13715041

申请日：2012-12-14

Applicant: Xerox Corporation

Inventor： Richard W. Seyfried ,  Aaron Michael Burry ,  Vladimir Kozitsky

IPC: G06K9/00

CPC classification number: G06K9/3258 ,  G06K9/00791 ,  G06K2209/15

Abstract: Disclosed are methods and systems for monitoring and reporting road violations of vehicles sharing roads with responding emergency vehicles. According to an exemplary method video is captured from a forward and/or rear facing camera mounted to an emergency vehicle, and the video is processed to identify any vehicles in violation within a prescribed distance from the emergency vehicle. A license plate id of a vehicle determined to be in violation is identified and communicated to the appropriate authorities.

Abstract translation: 公开了监测和报告与应急车辆共享道路的车辆的道路违规的方法和系统。 根据示例性方法，从安装到紧急车辆的前方和/或后方相机捕获视频，并且处理视频以识别违规车辆在距紧急车辆规定距离内的任何车辆。 确定违章的车辆的车牌号被确定并传达给有关当局。

公开(公告)号：US09824289B2

公开(公告)日：2017-11-21

申请号：US14960627

申请日：2015-12-07

Applicant: Xerox Corporation

Inventor： Vladimir Kozitsky ,  Martin S. Maltz

IPC: G06K9/00 ,  G06K9/32 ,  G06T7/00 ,  G06T7/40

CPC classification number: G06K9/3258 ,  G06K2209/01 ,  G06K2209/15 ,  G06T7/11 ,  G06T7/90 ,  G06T2207/10024 ,  G06T2207/30252

Abstract: Methods and systems for exploiting color for object recognition. A color gradient for each pixel in a gradient image of an object can be calculated. The gradient image can be binarized to produce an image having white walls around characters and other structures. A connected component analysis operation can be performed with respect to black regions in the image to determine bounding boxes for characters and other pictorial elements in the image and thereafter identify character candidates from the image utilizing character metrics. Non-character colors can then be eliminated from the image utilizing an outlier rejection.

公开(公告)号：US09460367B2

公开(公告)日：2016-10-04

申请号：US14561512

申请日：2014-12-05

Applicant: Xerox Corporation

Inventor： Vladimir Kozitsky ,  Matthew Shreve ,  Aaron M. Burry

IPC: G06K9/00 ,  G06K9/46 ,  G06K9/62 ,  G06N99/00

CPC classification number: G06K9/627 ,  G06K9/00771 ,  G06K9/325 ,  G06K2209/15 ,  G06N99/005 ,  G08G1/0175

Abstract: Systems and methods for automating an image rejection process. Features including texture, spatial structure, and image quality characteristics can be extracted from one or more images to train a classifier. Features can be calculated with respect to a test image for submission of the features to the classifier, given an operating point corresponding to a desired false positive rate. One or more inputs can be generated from the classifier as a confidence value corresponding to a likelihood of, for example: a license plate being absent in the image, the license plate being unreadable, or the license plate being obstructed. The confidence value can be compared against a threshold to determine if the image(s) should be removed from a human review pipeline, thereby reducing images requiring human review.

Abstract translation: 用于自动化镜像抑制过程的系统和方法。 可以从一个或多个图像中提取包括纹理，空间结构和图像质量特征的特征来训练分类器。 给定对应于所需假阳性率的操作点，可以相对于用于将特征提交给分类器的测试图像来计算特征。 可以从分类器产生一个或多个输入作为对应于例如图像中不存在牌照，牌照不可读或牌照妨碍的可能性的置信度值。 可以将置信度值与阈值进行比较，以确定图像是否应从人类审查管道中移除，从而减少需要人工审查的图像。

公开(公告)号：US09400936B2

公开(公告)日：2016-07-26

申请号：US14567000

申请日：2014-12-11

Applicant: Xerox Corporation

Inventor： Orhan Bulan ,  Howard Mizes ,  Vladimir Kozitsky ,  Aaron M. Burry

IPC: G06K9/00 ,  G06K9/20 ,  G06K9/32 ,  G06T7/00

CPC classification number: G06K9/3241 ,  G06K9/3258 ,  G06K9/723 ,  G06K2209/01 ,  G06K2209/15

Abstract: Methods and systems for tag recognition in captured images. A candidate region can be localized from regions of interest with respect to a tag and a tag number shown in the regions of interest within a side image of a vehicle. A number of confidence levels can then be calculated with respect to each digit recognized as a result of an optical character recognition operation performed with respect to the tag number. Optimal candidates within the candidate region can be determined for the tag number based on individual character confidence levels among the confidence levels. Optimal candidates from a pool of valid tag numbers can then be validated using prior appearance probabilities and data returned, which is indicative of the most probable tag to be detected to improve image recognition accuracy.

Abstract translation: 捕获图像中标签识别的方法和系统。 候选区域可以相对于标签和感兴趣区域中所示的在车辆侧面图像内的标签号进行定位。 然后可以相对于作为对标签号执行的光学字符识别操作的结果识别的每个数字来计算多个置信水平。 可以基于置信水平中的个人字符置信水平来确定候选区域内的最佳候选人的标签号码。 然后可以使用先前出现的概率和返回的数据来验证来自有效标签号码池的最佳候选者，这表示要检测的最可能标签以提高图像识别精度。

公开(公告)号：US20160162761A1

公开(公告)日：2016-06-09

申请号：US14564347

申请日：2014-12-09

Applicant: Xerox Corporation

Inventor： Orhan Bulan ,  Howard Mizes ,  Vladimir Kozitsky ,  Aaron M. Burry

IPC: G06K9/72 ,  G06K9/42 ,  G06K9/46 ,  G06K9/00 ,  G06K9/60 ,  G06K9/62 ,  G06K9/78 ,  G06K9/32 ,  G06K9/58

CPC classification number: G06K9/00456 ,  G06K9/00771 ,  G06K9/325 ,  G06K2209/01 ,  G06K2209/15

Abstract: Methods and systems for localizing numbers and characters in captured images. A side image of a vehicle captured by one or more cameras can be preprocessed to determine a region of interest. A confidence value of series of windows within regions of interest of different sizes and aspect ratios containing a structure of interest can be calculated. Highest confidence candidate regions can then be identified with respect to the regions of interest and at least one region adjacent to the highest confidence candidate regions. An OCR operation can then be performed in the adjacent region. An identifier can then be returned from the adjacent region in order to localize numbers and characters in the side image of the vehicle.

Abstract translation: 用于本地化捕获图像中的数字和字符的方法和系统。 可以对由一个或多个摄像机捕获的车辆的侧面图像进行预处理，以确定感兴趣的区域。 可以计算不同尺寸和高宽比的感兴趣区域中的一系列窗口的置信度值，其中包含感兴趣的结构。 然后可以相对于感兴趣区域和与最高置信候选区域相邻的至少一个区域来识别最高置信候选区域。 然后可以在相邻区域中执行OCR操作。 然后可以从相邻区域返回标识符，以便定位车辆侧面图像中的数字和字符。

公开(公告)号：US09122953B2

公开(公告)日：2015-09-01

申请号：US13862658

申请日：2013-04-15

Applicant: Xerox Corporation

Inventor： Claude S. Fillion ,  Aaron Michael Burry ,  Vladimir Kozitsky

IPC: G06K9/00 ,  G06K9/46

CPC classification number: G06K9/46 ,  G06K9/34 ,  G06K2209/15

Abstract: Methods and systems for character segmentation in an automatic license plate recognition application. One or more images of a license plate are acquired. Then, a pixel-level importance may be calculated with respect to the image(s) of the license plate based on information within the image, such as gradient information and raw grayscale information. A seam selection can be then applied with respect to the pixel-level importance map and the image(s) by enforcing constraints based on known characteristics of license plates in order to provide for character segmentation with respect to the image(s) of the license plate.

Abstract translation: 自动车牌识别应用中字符分割的方法和系统。 获取牌照的一张或多张图像。 然后，可以基于图像内的信息，例如梯度信息和原始灰度信息，相对于车牌的图像来计算像素级重要性。 然后可以通过基于车牌的已知特征执行约束来相对于像素级重要性图和图像应用接缝选择，以便提供关于许可证的图像的字符分割 盘子。

公开(公告)号：US20140363052A1

公开(公告)日：2014-12-11

申请号：US13911448

申请日：2013-06-06

Applicant: Xerox Corporation

Inventor： Vladimir Kozitsky ,  Aaron Burry ,  Claude Fillion

IPC: G06K9/00

CPC classification number: G06K9/00624 ,  G06K9/325 ,  G06K9/34 ,  G06K2209/15

Abstract: Methods, systems and processor-readable media for adaptive character segmentation in an automatic license plate recognition application. A region of interest can be identified in an image of a license plate acquired via an automatic license plate recognition engine. Characters in the image with respect to the region of interest can be segmented using a histogram projection associated with particular segmentation threshold parameters. The characters in the image can be iteratively validated if a minimum number of valid characters is determined based on the histogram projection and the particular segmentation threshold parameters to produce character images sufficient to identify the license plate.

Abstract translation: 用于自动车牌识别应用中自适应角色分割的方法，系统和处理器可读介质。 可以通过自动车牌识别引擎获取的牌照的图像中识别感兴趣的区域。 可以使用与特定分割阈值参数相关联的直方图投影来分割相关于感兴趣区域的图像中的字符。 如果基于直方图投影和特定分割阈值参数来确定最小数量的有效字符，则可以迭代地验证图像中的字符，以产生足以识别牌照的字符图像。

公开(公告)号：US20140348391A1

公开(公告)日：2014-11-27

申请号：US13899705

申请日：2013-05-22

Applicant: XEROX CORPORATION

Inventor： Stuart Schweid ,  Aaron Michael Burry ,  Vladimir Kozitsky

IPC: G06K9/00 ,  G06K9/62

CPC classification number: G06K9/623

Abstract: Methods, systems and processor-readable media for determining, post training, which locations of a classifier window are most significant in discriminating between class and non-class objects. The important locations can be determined by calculating the mean and standard deviation of every pixel location in the classifier context for both the positive and negative samples of the classifier. Using a combination of t-scores and mean differences, the importance of all pixel locations in the classifier score can be rank ordered. A sufficient number of pixel locations can then be selected to achieve a detection rate close enough to the full classifier for a particular application.

Abstract translation: 用于确定后期训练的方法，系统和处理器可读介质，分类器窗口的哪些位置在区分类和非类对象之间最显着。 可以通过计算分类器的正和负样本的分类器上下文中每个像素位置的平均值和标准偏差来确定重要位置。 使用t分和平均差的组合，分类器得分中所有像素位置的重要性可以是排序的。 然后可以选择足够数量的像素位置，以实现足够接近特定应用的全分类器的检测率。

公开(公告)号：US20140328518A1

公开(公告)日：2014-11-06

申请号：US13887541

申请日：2013-05-06

Applicant: Xerox Corporation

Inventor： Vladimir Kozitsky ,  Peter Paul ,  Aaron Michael Burry

IPC: G06K9/00

CPC classification number: G06K9/2018 ,  G06K15/021 ,  G06K2209/15 ,  G06K2215/0082 ,  G08G1/0175

Abstract: Methods, systems and processor-readable media for providing a license plate overlay decal with an infrared readable annotation mark for an optical character recognition and segmentation. The annotation mark with respect to character image of a license plate can be designed by training an ALPR engine to improve automatic license plate recognition performance. A plate overlay decal can be rendered with the annotation mark and attached to a license plate. The annotation mark can also be directly placed on the license plate when the license plate is rendered. The annotation mark is visible when illuminated by an infrared light and the license plate appears normal in visible light. The annotation mark enables an ALPR imaging system to obtain more information for each character and utilize the information to improve conclusion accuracy.

Abstract translation: 方法，系统和处理器可读介质，用于提供用于光学字符识别和分割的红外可读注释标记的牌照覆盖贴花。 关于车牌字符图像的注解标记可以通过训练一个ALPR引擎来提高车牌自动识别性能来设计。 可以使用注释标记渲染板覆盖贴花并附加到牌照。 当车牌被渲染时，注解标记也可以直接放置在车牌上。 注意标志在被红外线照射时可见，并且牌照在可见光下显示正常。 注释标记使得ALPR成像系统可以获得每个角色的更多信息，并利用该信息来提高结论准确性。

公开(公告)号：US20130141586A1

公开(公告)日：2013-06-06

申请号：US13768883

申请日：2013-02-15

Applicant: XEROX CORPORATION

Inventor： Vladimir Kozitsky ,  Aaron Michael Burry ,  Zhigang Fan ,  Frank Bradley Mayberry ,  John Deppen

IPC: H04N7/18

CPC classification number: H04N7/18 ,  G06Q10/087 ,  G06Q30/06

Abstract: Images with respect to an object at an ordering, payment, and delivery locations can be captured utilizing an image capturing system. Capture can be after detecting the presence of the object at each location utilizing an object presence sensor. The captured image can be processed to associate it with a signature and can also be processed in order to extract a small region of interest (e.g., license plate) and can be reduced to a unique signature. Signature can be stored into a database together with the corresponding order and images. Signatures can be matched. The order associated with the object matched by the system together with at least one of the images captured at the delivery point and the order point can be displayed at a user interface located at the payment/delivery point to ensure that the right order is delivered to the right customer asscoiated with the object.

Abstract translation: 可以使用图像捕获系统捕获在订购，付款和传送位置处的对象的图像。 在使用对象存在传感器检测每个位置处的对象的存在之后，可以进行捕获。 捕获的图像可以被处理以将其与签名相关联，并且还可以被处理以便提取感兴趣的小区域（例如，牌照），并且可以将其缩小为唯一的签名。 签名可以与相应的订单和图像一起存储到数据库中。 签名可以匹配。 与由系统匹配的对象相关联的订单与在递送点和订单点处捕获的图像中的至少一个可以显示在位于支付/交付点的用户界面，以确保正确的订单被传送到 正确的客户反映了对象。