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公开(公告)号：US10068146B2
公开(公告)日：2018-09-04
申请号：US15052941
申请日：2016-02-25
Applicant: Xerox Corporation
Inventor： Orhan Bulan , Palghat Ramesh , Vladimir Kozitsky
Abstract: A detection-based segmentation-free method and system for license plate recognition. An image of a vehicle is initially captured utilizing an image-capturing unit. A license plate region is located in the image of the vehicle. A set of characters can then be detected in the license plate region and a geometry correction performed based on a location of the set of characters detected in the license plate region. An operation for sweeping an OCR across the license plate region can be performed to infer characters with respect to the set of characters and locations of the characters utilizing a hidden Markov model and leveraging anchored digit/character locations.
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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.
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公开(公告)号：US20170249524A1
公开(公告)日：2017-08-31
申请号：US15052941
申请日：2016-02-25
Applicant: Xerox Corporation
Inventor： Orhan Bulan , Palghat Ramesh , Vladimir Kozitsky
CPC classification number: G06K9/325 , G06K9/00771 , G06K9/3208 , G06K9/6265 , G06K9/6297 , G06K2209/01 , G06K2209/15
Abstract: A detection-based segmentation-free method and system for license plate recognition. An image of a vehicle is initially captured utilizing an image-capturing unit. A license plate region is located in the image of the vehicle. A set of characters can then be detected in the license plate region and a geometry correction performed based on a location of the set of characters detected in the license plate region. An operation for sweeping an OCR across the license plate region can be performed to infer characters with respect to the set of characters and locations of the characters utilizing a hidden Markov model and leveraging anchored digit/character locations.
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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.
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5.发明授权Efficient method of offline training a special-type parked vehicle detector for video-based on-street parking occupancy detection systems 有权用于离线训练用于视频路边停车场占用检测系统的特殊型驻车检测器的高效方法公开(公告)号：US09477892B2
公开(公告)日：2016-10-25
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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Patent Agency Ranking
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。
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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。
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8.发明授权Image assisted parking space availability searching and reservation method and system 有权图像辅助停车位可用性查询和预约方法及系统公开(公告)号：US09330570B2
公开(公告)日：2016-05-03
申请号：US13935605
申请日：2013-07-05
Applicant: Xerox Corporation
Inventor： Yao Rong Wang , David Cummins , Mathew Darst , Panya Chanawangsa , Orhan Bulan
Abstract: An image assisted parking space availability searching and reservation method and system. An image capturing unit can be deployed onsite (e.g., parking lot, street side parking, etc.) to monitor parking spaces/spots. A parking space detection and reservation module can be configured in association with a mobile communications device to assist in the detection and selection of particular spaces. A destination street(s) can be located via a web browser installed associated with the mobile communications device. An IP address of the image-capturing unit monitoring the parking space can be obtained and a snapshot image/video of the street can be displayed. The captured video can be processed in real-time to report parking availability with respect to the street(s) and a parking space reserved.
Abstract translation: 图像辅助停车位可用性搜索和预订方法和系统。 可以在现场（例如，停车场，街边停车场等）部署图像捕获单元以监视停车位/点。 可以与移动通信设备相关联地配置停车位检测和预约模块，以帮助检测和选择特定空间。 目的地街道可以通过与移动通信设备相关联的网络浏览器来定位。 可以获得监视停车位的图像拍摄单元的IP地址，并且可以显示街道的快照图像/视频。 拍摄的视频可以实时处理，以报告关于街道和预留的停车位的停车可用性。
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公开(公告)号：US09165352B2
公开(公告)日：2015-10-20
申请号：US13913606
申请日：2013-06-10
Applicant: XEROX CORPORATION
Inventor： Wencheng Wu , Edul N. Dalal , Orhan Bulan
CPC classification number: G06T5/50 , G06T5/002 , G06T2207/10016 , G06T2207/20032 , G06T2207/20182 , G06T2207/20224 , G06T2207/30232 , G06T2207/30236
Abstract: Methods and systems receive a series of images and compare at least two of the images in the series of images to locate items that are in different positions to identify moving items. Such methods and systems further calculate a measure of the moving items within the series of images. Additionally, such methods and systems perform a continuously variable image correction to remove the moving items from the images to produce a series of corrected images. This “continuously variable image correction” increases the amount of image correction for a relatively higher measure of the moving items and decreases the amount of image correction for a relatively lower measure of the moving items, and does so continuously as the measure of the moving items changes within the series of images.
Abstract translation: 方法和系统接收一系列图像并且比较一系列图像中的至少两个图像以定位处于不同位置的物体以识别移动物品。 这样的方法和系统进一步计算一系列图像内的移动物品的度量。 此外，这样的方法和系统执行连续可变的图像校正以从图像中移除移动项目以产生一系列校正图像。 这种“连续可变图像校正”增加了移动项目的相对较高测量的图像校正量，并且减少了用于移动项目的相对较低测量的图像校正量，并且作为移动项目的度量 一系列图像内的变化。
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10.发明申请IMAGE ASSISTED PARKING SPACE AVAILABILITY SEARCHING AND RESERVATION METHOD AND SYSTEM 有权图像辅助停车空间可用性搜索和预留方法和系统公开(公告)号：US20150009048A1
公开(公告)日：2015-01-08
申请号：US13935605
申请日：2013-07-05
Applicant: Xerox Corporation
Inventor： Yao Rong Wang , David Cummins , Mathew Darst , Panya Chanawangsa , Orhan Bulan
IPC: G08G1/14
Abstract: An image assisted parking space availability searching and reservation method and system. An image capturing unit can be deployed onsite (e.g., parking lot, street side parking, etc.) to monitor parking spaces/spots. A parking space detection and reservation module can be configured in association with a mobile communications device to assist in the detection and selection of particular spaces. A destination street(s) can be located via a web browser installed associated with the mobile communications device. An IP address of the image-capturing unit monitoring the parking space can be obtained and a snapshot image/video of the street can be displayed. The captured video can be processed in real-time to report parking availability with respect to the street(s) and a parking space reserved.
Abstract translation: 图像辅助停车位可用性搜索和预订方法和系统。 可以在现场（例如，停车场，街边停车场等）部署图像捕获单元以监视停车位/点。 可以与移动通信设备相关联地配置停车位检测和预约模块，以帮助检测和选择特定空间。 目的地街道可以通过与移动通信设备相关联的网络浏览器来定位。 可以获得监视停车位的图像拍摄单元的IP地址，并且可以显示街道的快照图像/视频。 拍摄的视频可以实时处理，以报告关于街道和预留的停车位的停车可用性。
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