-
公开(公告)号：US10044988B2
公开(公告)日：2018-08-07
申请号：US14715787
申请日：2015-05-19
Applicant: Xerox Corporation
Inventor： Orhan Bulan , Aaron M. Burry
Abstract: Multi-stage vehicle detection systems and methods for side-by-side drive-thru configurations. One or more video cameras (or an image-capturing unit) can be employed for capturing video of a drive-thru of interest in a monitored area. A group of modules can be provided, which define multiple virtual detection loops in the video and sequentially perform classification with respect to each virtual detection loops among the multiple virtual detection loops, starting from a virtual detection loop closest to an order point, and when a vehicle having a car ID is sitting in a drive-thru queue, so as to improve vehicle detection performance in automated post-merge sequencing.
-
公开(公告)号：US09536315B2
公开(公告)日：2017-01-03
申请号：US14658713
申请日：2015-03-16
Applicant: Xerox Corporation
Inventor： Orhan Bulan , Vladimir Kozitsky , Aaron M. Burry
CPC classification number: G06T7/0079 , G06K9/3258 , G06K9/6256 , G06K9/6277 , G06K2209/01
Abstract: Methods and systems for recognizing a license plate character. Synthetic license plate character images are generated for a target jurisdiction. A limited set of license plate images can be captured for a target jurisdiction utilizing an image-capturing unit. The license plate images are then segmented into license plate character images for the target jurisdiction. The license plate character images collected for the target jurisdiction can be manually labeled. A domain adaptation technique can be utilized to reduce the divergence between synthetically generated and manually labeled target jurisdiction image sets. Additionally, OCR classifiers are trained utilizing the images after the domain adaptation method has been applied. One or more input license plate character images can then be received from the target jurisdiction. Finally, the trained OCR classifier can be employed to determine the most likely labeling for the character image and a confidence associated with the label.
Abstract translation: 识别车牌字符的方法和系统。 为目标管辖区生成综合车牌字符图像。 使用图像捕获单元，可以针对目标管辖区捕获有限的车牌图像。 然后将车牌图像分割为目标司法管辖区的车牌字符图像。 为目标管辖区收集的车牌字符图像可以手动标记。 可以利用域适配技术来减少合成生成的和手动标记的目标管辖图像集之间的差异。 另外，在应用域适配方法之后，使用图像对OCR分类器进行训练。 然后可以从目标管辖区接收一个或多个输入牌照字符图像。 最后，训练有素的OCR分类器可用于确定人物图像最可能的标记和与标签相关的置信度。
-
公开(公告)号：US20160148076A1
公开(公告)日：2016-05-26
申请号：US14561512
申请日：2014-12-05
Applicant: Xerox Corporation
Inventor： Vladimir Kozitsky , Matthew Shreve , Aaron M. Burry
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：US20150294175A1
公开(公告)日：2015-10-15
申请号：US14249809
申请日：2014-04-10
Applicant: Xerox Corporation
Inventor： Raja Bala , Aaron M. Burry
CPC classification number: G06K9/325 , G06T3/00 , G06T7/73 , G06T2207/20021 , G06T2207/20132
Abstract: A system and method for cropping a license plate image to facilitate license plate recognition by obtaining an image that includes the license plate image, dividing the image into multiple sub-blocks, computing an activity measure for each sub-block; determining an activity threshold, determining that a sub-block is an active sub-block by comparing the activity measure for the sub-block with the activity threshold, generating a second image of the license plate information, where the second image includes the active sub-block, and obtaining the license plate information based on the second image.
Abstract translation: 一种用于通过获取包括车牌图像的图像来划分车牌图像以便于车牌识别的系统和方法，将图像划分成多个子块，计算每个子块的活动度量; 确定活动阈值，通过将子块的活动度量与活动阈值进行比较来确定子块是活动子块，生成车牌信息的第二图像，其中第二图像包括活动子图 块，并且基于第二图像获得车牌信息。
-
公开(公告)号：US09965677B2
公开(公告)日：2018-05-08
申请号：US14564347
申请日：2014-12-09
Applicant: Xerox Corporation
Inventor： Orhan Bulan , Howard Mizes , Vladimir Kozitsky , Aaron M. Burry
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.
-
Patent Agency Ranking
公开(公告)号：US09704201B2
公开(公告)日：2017-07-11
申请号：US14446938
申请日：2014-07-30
Applicant: Xerox Corporation
Inventor： Orhan Bulan , Aaron M. Burry , Abu S. Islam , Peter Paul , David Martin Todd Jackson
CPC classification number: G06Q40/08 , G06K9/3258 , G06K9/4661
Abstract: A video sequence can be continuously acquired at a predetermined frame rate and resolution by an image capturing unit installed at a location. A video frame can be extracted from the video sequence when a vehicle is detected at an optimal position for license plate recognition by detecting a blob corresponding to the vehicle and a virtual line on an image plane. The video frame can be pruned to eliminate a false positive and multiple frames with respect to a similar vehicle before transmitting the frame via a network. A license plate detection/localization can be performed on the extracted video frame to identify a sub-region with respect to the video frame that are most likely to contain a license plate. A license plate recognition operation can be performed and an overall confidence assigned to the license plate recognition result.
-
公开(公告)号：US09569681B2
公开(公告)日：2017-02-14
申请号：US14249809
申请日：2014-04-10
Applicant: Xerox Corporation
Inventor： Raja Bala , Aaron M. Burry
CPC classification number: G06K9/325 , G06T3/00 , G06T7/73 , G06T2207/20021 , G06T2207/20132
Abstract: A system and method for cropping a license plate image to facilitate license plate recognition by obtaining an image that includes the license plate image, dividing the image into multiple sub-blocks, computing an activity measure for each sub-block; determining an activity threshold, determining that a sub-block is an active sub-block by comparing the activity measure for the sub-block with the activity threshold, generating a second image of the license plate information, where the second image includes the active sub-block, and obtaining the license plate information based on the second image.
Abstract translation: 一种用于通过获取包括车牌图像的图像来划分车牌图像以便于车牌识别的系统和方法，将图像划分成多个子块，计算每个子块的活动度量; 确定活动阈值，通过将子块的活动度量与活动阈值进行比较来确定子块是活动子块，生成车牌信息的第二图像，其中第二图像包括活动子图 块，并且基于第二图像获得车牌信息。
-
公开(公告)号：US20160203380A1
公开(公告)日：2016-07-14
申请号：US14658713
申请日：2015-03-16
Applicant: Xerox Corporation
Inventor： Orhan Bulan , Vladimir Kozitsky , Aaron M. Burry
CPC classification number: G06T7/0079 , G06K9/3258 , G06K9/6256 , G06K9/6277 , G06K2209/01
Abstract: Methods and systems for recognizing a license plate character. Synthetic license plate character images are generated for a target jurisdiction. A limited set of license plate images can be captured for a target jurisdiction utilizing an image-capturing unit. The license plate images are then segmented into license plate character images for the target jurisdiction. The license plate character images collected for the target jurisdiction can be manually labeled. A domain adaptation technique can be utilized to reduce the divergence between synthetically generated and manually labeled target jurisdiction image sets. Additionally, OCR classifiers are trained utilizing the images after the domain adaptation method has been applied. One or more input license plate character images can then be received from the target jurisdiction. Finally, the trained OCR classifier can be employed to determine the most likely labeling for the character image and a confidence associated with the label.
Abstract translation: 识别车牌字符的方法和系统。 为目标管辖区生成综合车牌字符图像。 使用图像捕获单元，可以针对目标管辖区捕获有限的车牌图像。 然后将车牌图像分割为目标司法管辖区的车牌字符图像。 为目标管辖区收集的车牌字符图像可以手动标记。 可以利用域适配技术来减少合成生成的和手动标记的目标管辖图像集之间的差异。 另外，在应用域适配方法之后，使用图像对OCR分类器进行训练。 然后可以从目标管辖区接收一个或多个输入牌照字符图像。 最后，训练有素的OCR分类器可用于确定人物图像最可能的标记和与标签相关的置信度。
-
公开(公告)号：US20160148058A1
公开(公告)日：2016-05-26
申请号：US15013354
申请日：2016-02-02
Applicant: Xerox Corporation
Inventor： Orhan Bulan , Aaron M. Burry , Robert P. Loce
CPC classification number: G06K9/00771 , G06K9/00785 , G06K9/4652 , G06K9/6267 , G06T2207/10016 , G06T2207/10024 , G06T2207/30232 , G06T2207/30236 , G06T2207/30241 , G08G1/0175
Abstract: A method for detecting a vehicle running a stop signal positioned at an intersection includes acquiring a sequence of frames from at least one video camera monitoring an intersection being signaled by the stop signal. The method includes defining a first region of interest (ROI) including a road region located before the intersection on the image plane. The method includes searching the first ROI for a candidate violating vehicle. In response to detecting the candidate violating vehicle, the method includes tracking at least one trajectory of the detected candidate violating vehicle across a number of frames. The method includes classifying the candidate violating vehicle as belonging to one of a violating vehicle and a non-violating vehicle based on the at least one trajectory.
Abstract translation: 用于检测运行位于交叉点处的停止信号的车辆的方法包括从至少一个监视由停止信号通知的交叉路口的摄像机获取帧序列。 该方法包括定义第一感兴趣区域（ROI），其包括位于图像平面上的交点之前的道路区域。 该方法包括搜索候选违反车辆的第一ROI。 响应于检测到候选违禁车辆，该方法包括跟踪检测到的候选违反车辆的至少一个轨迹跨越多个帧。 所述方法包括基于所述至少一个轨迹将候选违禁车辆分类为属于违禁车辆和非违禁车辆之一的车辆。
-
10.发明授权Method and system for bootstrapping an OCR engine for license plate recognition 有权引导OCR引擎进行车牌识别的方法和系统公开(公告)号：US09501707B2
公开(公告)日：2016-11-22
申请号：US14688255
申请日：2015-04-16
Applicant: Xerox Corporation
Inventor： Orhan Bulan , Claude Fillion , Aaron M. Burry , Vladimir Kozitsky
CPC classification number: G06K9/6256 , G06K2209/01 , G06K2209/15
Abstract: Methods and systems for bootstrapping an OCR engine for license plate recognition. One or more OCR engines can be trained utilizing purely synthetically generated characters. A subset of classifiers, which require augmentation with real examples, along how many real examples are required for each, can be identified. The OCR engine can then be deployed to the field with constraints on automation based on this analysis to operate in a “bootstrapping” period wherein some characters are automatically recognized while others are sent for human review. The previously determined number of real examples required for augmenting the subset of classifiers can be collected. Each subset of identified classifiers can then be retrained as the number of real examples required becomes available.
Abstract translation: 引导OCR引擎进行车牌识别的方法和系统。 可以使用纯合成生成的字符来训练一个或多个OCR引擎。 可以识别分类器的一个子集，它们需要通过实例增加，每个需要多少个实例。 然后，可以将OCR引擎部署到具有基于该分析的自动化约束的现场，以在“自举”期间操作，其中一些字符被自动识别，而其他人被发送供人审查。 可以收集先前确定的用于增加分类器子集所需的实例的数量。 随着所需实际数量的可用数量的增加，识别的分类器的每个子集可以被重新训练。
-
-
-
-
-
-
-
-
-
Search Results
31
records
(took 0.021 seconds)
