公开(公告)号：US09104939B2

公开(公告)日：2015-08-11

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 ,  G06K9/32

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：US09082038B2

公开(公告)日：2015-07-14

申请号：US13904559

申请日：2013-05-29

Applicant: Xerox Corporation

Inventor： Vladimir Kozitsky ,  Aaron Michael Burry

IPC: G06K9/00 ,  G06K9/32

CPC classification number: G06K9/3258 ,  G06K9/685 ,  G06K2209/15

Abstract: Methods and systems for improving automated license plate recognition performance. One or more images of a vehicle can be captured via an automated license plate recognition engine. Vehicle class information associated with the vehicle can be obtained using the automated license place recognition engine. Such vehicle class information can be analyzed with respect to the vehicle. Finally, data can be dynamically adjusted with respect to the vehicle based on a per image basis to enhance recognition of the vehicle via the automated license plate recognition engine.

Abstract translation: 提高自动牌照识别性能的方法和系统。 可以通过自动车牌识别引擎捕获车辆的一个或多个图像。 与车辆相关的车辆类别信息可以使用自动许可证位置识别引擎获得。 可以相对于车辆分析这样的车辆类别信息。 最后，基于每个图像可以相对于车辆动态地调整数据，以通过自动车牌识别引擎增强对车辆的识别。

公开(公告)号：US09002066B2

公开(公告)日：2015-04-07

申请号：US13887541

申请日：2013-05-06

Applicant: Xerox Corporation

Inventor： Vladimir Kozitsky ,  Peter Paul ,  Aaron Michael Burry

IPC: G06K9/00 ,  G08G1/01 ,  B60Q1/56

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：US20140363051A1

公开(公告)日：2014-12-11

申请号：US13910346

申请日：2013-06-05

Applicant: Xerox Corporation

Inventor： Aaron Michael Burry ,  Peter Paul

IPC: G06K9/00

CPC classification number: G06K9/2027 ,  G06K9/00838

Abstract: Methods and systems for selecting a target vehicle for occupancy detection utilizing vehicle identification information. The vehicle identification information (e.g., license plate information) can be obtained from a vehicle identification unit (e.g., ALPR) to identify a vehicle approaching a high occupancy measurement zone. The vehicle identification information from the vehicle identification unit can be transferred to a vehicle occupancy unit having a flash illuminator unit and an image-capturing unit. The flash illuminator unit and the image-capturing unit are not enabled if the vehicle's occupancy state has already been measured at a prior location based on the vehicle identification information. The vehicle occupancy detection unit and the vehicle identification unit work together in a coordinated fashion to reduce the number of times the flash illuminator unit needs to fire and extends the life of the illuminator unit, thus reducing the cost of maintenance.

Abstract translation: 使用车辆识别信息选择目标车辆进行占用检测的方法和系统。 车辆识别信息（例如，车牌信息）可以从车辆识别单元（例如，ALPR）获得，以识别接近高占用测量区域的车辆。 来自车辆识别单元的车辆识别信息可以被传送到具有闪光照明器单元和图像捕获单元的车辆占用单元。 如果基于车辆识别信息已经在现有位置测量了车辆的占用状态，则闪光照明器单元和图像捕获单元不被启用。 车辆占用检测单元和车辆识别单元以协调的方式协同工作，以减少闪光照明器单元需要点火的次数并延长照明器单元的寿命，从而降低维护成本。

公开(公告)号：US20140307924A1

公开(公告)日：2014-10-16

申请号：US13862658

申请日：2013-04-15

Applicant: XEROX CORPORATION

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

IPC: 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：US09336450B2

公开(公告)日：2016-05-10

申请号：US13910346

申请日：2013-06-05

Applicant: Xerox Corporation

Inventor： Aaron Michael Burry ,  Peter Paul

IPC: G06K9/20 ,  G06K9/00

CPC classification number: G06K9/2027 ,  G06K9/00838

Abstract: Methods and systems for selecting a target vehicle for occupancy detection utilizing vehicle identification information. The vehicle identification information (e.g., license plate information) can be obtained from a vehicle identification unit (e.g., ALPR) to identify a vehicle approaching a high occupancy measurement zone. The vehicle identification information from the vehicle identification unit can be transferred to a vehicle occupancy unit having a flash illuminator unit and an image-capturing unit. The flash illuminator unit and the image-capturing unit are not enabled if the vehicle's occupancy state has already been measured at a prior location based on the vehicle identification information. The vehicle occupancy detection unit and the vehicle identification unit work together in a coordinated fashion to reduce the number of times the flash illuminator unit needs to fire and extends the life of the illuminator unit, thus reducing the cost of maintenance.

Abstract translation: 使用车辆识别信息选择目标车辆进行占用检测的方法和系统。 车辆识别信息（例如，车牌信息）可以从车辆识别单元（例如，ALPR）获得，以识别接近高占用测量区域的车辆。 来自车辆识别单元的车辆识别信息可以被传送到具有闪光照明器单元和图像捕获单元的车辆占用单元。 如果基于车辆识别信息已经在现有位置测量了车辆的占用状态，则闪光照明器单元和图像捕获单元不被启用。 车辆占用检测单元和车辆识别单元以协调的方式协同工作，以减少闪光照明器单元需要点火的次数并延长照明器单元的寿命，从而降低维护成本。

公开(公告)号：US20150310624A1

公开(公告)日：2015-10-29

申请号：US14632237

申请日：2015-02-26

Applicant: Xerox Corporation

Inventor： Orhan Bulan ,  Yusuf Oguzhan Artan ,  Aaron Michael Burry

IPC: G06T7/20 ,  G06K9/62 ,  G06K9/66 ,  G06T7/00

CPC classification number: G06K9/66 ,  G06K9/00785 ,  G06T7/215 ,  G06T7/248 ,  G06T7/254 ,  G06T2207/30232 ,  G06T2207/30236

Abstract: Provided is a method and system of tracking partially occluded objects using an elastic deformation model. According to an exemplary method and system, partially occluded vehicles are detected and tracked in a scene including side-by-side drive-thru lanes. A method for updating an event sequence includes acquiring video data of a queue area from at least one image source; searching the frames for subjects located at least near a region of interest (ROI) of defined start points in the video data; tracking a movement of each detected subject through the queue area over a subsequent series of frames; using the tracking, determining if a location of the a tracked subject reaches a predefined merge point where multiple queues in the queue area converge into a single queue lane; in response to the tracked subject reaching the predefined merge point, computing an observed sequence of where the tracked subject places among other subjects approaching an end-event point; and, updating a sequence of end-events to match the observed sequence of subjects in the single queue lane.

Abstract translation: 提供了使用弹性变形模型跟踪部分遮挡物体的方法和系统。 根据示例性方法和系统，在包括并排驱动通道的场景中检测和跟踪部分遮挡的车辆。 一种用于更新事件序列的方法包括从至少一个图像源获取队列区域的视频数据; 在所述帧中搜索位于所述视频数据中定义的起点的至少接近感兴趣区域（ROI）的对象; 在随后的一系列帧中跟踪每个检测到的对象通过队列区域的移动; 使用所述跟踪，确定被跟踪对象的位置是否到达所述队列区域中的多个队列收敛到单个队列通道中的预定义合并点; 响应于被跟踪的对象到达预定义的合并点，计算被跟踪对象在接近终点事件点的其他主体中所在的观察序列; 并且更新结束事件序列以匹配在单个队列通道中观察到的受试者序列。

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

IPC: G06K9/32 ,  G06K9/00 ,  G06T7/00

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。

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：US20150125041A1

公开(公告)日：2015-05-07

申请号：US14159590

申请日：2014-01-21

Applicant: XEROX CORPORATION

Inventor： Aaron Michael Burry ,  Farnaz Abtahi

IPC: G06K9/32 ,  G06K9/62

CPC classification number: G06K9/325 ,  G06K9/00791 ,  G06K9/34 ,  G06K9/6256 ,  G06K2209/15

Abstract: Methods and systems for achieving accurate segmentation of characters with respect to a license plate image utilizing a reinforcement learning approach. A vehicle image can be captured by an image capturing unit and processed utilizing an ALPR (Automatic License Plate Recognition) unit. The reinforcement learning (RL) approach can be configured to initialize a segmentation agent with a starting location. A proper segmentation path (cuts) from top to bottom and from a darker to lighter area in a cropped license plate image can be identified by the segmentation agent during a training phase. Rewards can be provided based on a number of good and bad moves. The association between a current state and a sensory input with a preferred action can be learned by the segmentation agent at the end of the training phase.

Abstract translation: 使用强化学习方法实现与车牌图像相关的字符的精确分割的方法和系统。 车辆图像可以由图像捕获单元捕获并且使用ALPR（自动车牌识别）单元进行处理。 强化学习（RL）方法可以配置为初始化具有起始位置的分段代理。 可以在训练阶段通过分割代理来识别经裁剪的车牌图像中从顶部到底部以及从较暗到较亮区域的适当分割路径（切割）。 奖励可以根据一些好的和坏的举动提供。 当前状态与具有优选动作的感觉输入之间的关联可以在训练阶段结束时被分段代理学习。