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11.发明授权公开(公告)号：US09405985B1
公开(公告)日：2016-08-02
申请号：US14660255
申请日：2015-03-17
Applicant: Xerox Corporation
Inventor： Aaron M. Burry , Vladimir Kozitsky
CPC classification number: H04N7/18 , G06K9/3258 , G06K9/6828 , G06K2209/01 , G06K2209/15
Abstract: Methods and systems for enhancing the accuracy of license plate state identification in an ALPR (Automated License Plate Recognition) system. This is accomplished through use of individual character-by-character image-based classifiers that are trained to distinguish between the fonts for different states. At runtime, the OCR result for the license plate code can be used to determine which character in the plate would provide the highest discriminatory power for arbitrating between candidate state results. This classifier is then applied to the individual character image to provide a final selection of the estimated state/jurisdiction for the plate.
Abstract translation: 在ALPR（自动牌照识别）系统中提高车牌状态识别准确性的方法和系统。 这是通过使用单独的逐个字符的基于图像的分类器来完成的，该分类器被训练以区分不同状态的字体。 在运行时，车牌代码的OCR结果可用于确定板中的哪个字符将提供用于候选状态结果之间仲裁的最高辨别力。 然后将此分类器应用于个人字符图像，以提供板的估计状态/管辖权的最终选择。
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公开(公告)号：US20160171328A1
公开(公告)日：2016-06-16
申请号：US14567000
申请日：2014-12-11
Applicant: Xerox Corporation
Inventor： Orhan Bulan , Howard Mizes , Vladimir Kozitsky , Aaron M. Burry
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。
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公开(公告)号：US09275286B2
公开(公告)日：2016-03-01
申请号：US14278218
申请日：2014-05-15
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中的一种。
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14.发明申请公开(公告)号：US20150332588A1
公开(公告)日：2015-11-19
申请号：US14278196
申请日：2014-05-15
Applicant: Xerox Corporation
Inventor： Orhan Bulan , Aaron M. Burry , Robert P. Loce
CPC classification number: G08G1/0175 , G06K9/00785 , G06K9/4671 , H04N7/183 , H04N7/188
Abstract: A method for detecting a vehicle running a stop signal includes acquiring at least two evidentiary images of a candidate violating vehicle captured from at least one camera monitoring an intersection. The method includes extracting feature points in each of the at least two evidentiary images. The method includes computing feature descriptors for each of the extracted feature points. The method includes determining a correspondence between feature points having matching feature descriptors at different locations in the at least two evidentiary images. The method includes extracting at least one attribute for each correspondence. The method includes determining if the candidate violating vehicle is in violation of running the stop signal using the extracted attribute.
Abstract translation: 一种用于检测运行停止信号的车辆的方法，包括从至少监视交叉路口的至少一个照相机获取从所述候选违禁车辆获取的至少两个证据图像。 所述方法包括提取所述至少两个证据图像中的每一个中的特征点。 该方法包括计算每个提取的特征点的特征描述符。 该方法包括确定在至少两个证据图像中的不同位置处具有匹配特征描述符的特征点之间的对应关系。 该方法包括提取每个对应的至少一个属性。 该方法包括使用提取的属性确定候选违反车辆是否违反运行停止信号。
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15.发明申请VIDEO TRACKING BASED METHOD FOR AUTOMATIC SEQUENCING OF VEHICLES IN DRIVE-THRU APPLICATIONS 有权基于视频跟踪的驱动力应用中车辆自动排序的方法公开(公告)号：US20150310370A1
公开(公告)日：2015-10-29
申请号：US14260915
申请日：2014-04-24
Applicant: Xerox Corporation
Inventor： Aaron M. Burry , Peter Paul , Edgar A. Bernal , Orhan Bulan
CPC classification number: G06Q10/06316 , G06K9/00711 , G06K9/00785 , G06K9/00791 , G06K9/6267 , G06Q50/12 , G06T7/20
Abstract: 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: 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。
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Patent Agency Ranking
公开(公告)号：US20170169297A1
公开(公告)日：2017-06-15
申请号：US14963602
申请日：2015-12-09
Applicant: Xerox Corporation
Inventor： Edgar A. Bernal , Aaron M. Burry , Matthew A. Shreve , Michael C. Mongeon , Robert P. Loce , Peter Paul , Wencheng Wu
CPC classification number: G06K9/00778 , G06K9/00369 , G06K2009/3291 , G06T7/11
Abstract: A system and method of monitoring a region of interest comprises obtaining visual data comprising image frames of the region of interest over a period of time, analyzing individual subjects within the region of interest, the analyzing including at least one of tracking movement of individual subjects over time within the region of interest or extracting an appearance attribute of the individual subjects, and defining a group to include individual subjects having at least one of similar movement profiles or similar appearance attributes. The tracking movement includes detecting at least one of a trajectory of an individual subject within the region of interest, a dwell of an individual subject in at least one location within the region of interest, or an entrance or exit location within the region of interest.
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17.发明申请METHOD AND SYSTEM FOR AUTOMATED SEQUENCING OF VEHICLES IN SIDE-BY-SIDE DRIVE-THRU CONFIGURATIONS VIA APPEARANCE-BASED CLASSIFICATION 审中-公开通过基于外观的分类，在侧面驱动 - 配置中的车辆自动排序的方法和系统公开(公告)号：US20170039432A1
公开(公告)日：2017-02-09
申请号：US15297572
申请日：2016-10-19
Applicant: Xerox Corporation
Inventor： Orhan Bulan , Edgar A. Bernal , Aaron M. Burry , Yusuf Oguzhan Artan
CPC classification number: G06K9/00785 , G06K9/00771 , G06K9/4609 , G06K9/6212 , G06K9/6267 , G06Q50/12 , G06T7/20 , G06T7/74 , G06T2207/20081 , G06T2207/30236 , G06T2207/30248 , H04N5/23229
Abstract: This disclosure provides a method and system for automated sequencing of vehicles in side-by-side drive-thru configurations via appearance-based classification. According to an exemplary embodiment, an automated sequencing method includes computer-implemented method of automated sequencing of vehicles in a side-by-side drive-thru, the method comprising: a) an image capturing device capturing video of a merge-point area associated with multiple lanes of traffic merging; b) detecting in the video a vehicle as it traverses the merge-point area; c) classifying the detected vehicle associated with traversing the merge-point area as coming from one of the merging lanes; and d) aggregating vehicle classifications performed in step c) to generate a merge sequence of detected vehicles.
Abstract translation: 本公开提供了一种通过基于外观的分类来并行驱动通过配置的车辆的自动排序的方法和系统。 根据示例性实施例，自动排序方法包括以并行驱动的车辆的自动排序的计算机实现的方法，所述方法包括：a）图像捕获装置，其捕获与相关联的合并点区域的视频 多个车道合并; b）当车辆横穿合并点区域时，视频中检测车辆; c）将与遍历合并点区域相关联的检测到的车辆分类为来自合并车道之一; 以及d）聚合在步骤c）中执行的车辆分类，以产生检测到的车辆的合并序列。
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18.发明申请公开(公告)号：US20160342841A1
公开(公告)日：2016-11-24
申请号：US14715787
申请日：2015-05-19
Applicant: Xerox Corporation
Inventor： Orhan Bulan , Aaron M. Burry
CPC classification number: H04N7/181 , G06K9/00785 , G06K9/6254 , G06Q30/0635 , G06Q50/12
Abstract: Multi-stage vehicle detection systems and methods for side-by-side drive-thru configurations. One or more video cameras for 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.
Abstract translation: 多级车辆检测系统和并行驱动通过配置的方法。 用于图像捕获单元的一个或多个摄像机）可用于捕获被监视区域中感兴趣的驱动器的视频。 可以提供一组模块，其在视频中定义多个虚拟检测环路，并且从多个虚拟检测环路中的每个虚拟检测环路顺序执行分类，从最靠近订单点的虚拟检测循环开始，并且当 具有车辆ID的车辆坐在驱动队列中，以便在自动后合并排序中提高车辆检测性能。
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公开(公告)号：US09489582B2
公开(公告)日：2016-11-08
申请号：US14534790
申请日：2014-11-06
Applicant: Xerox Corporation , The Penn State Research Foundation
Inventor： Raja Bala , Aaron M. Burry , Vishal Monga , Xuan Mo
IPC: G06K9/00
CPC classification number: G06K9/00785 , G06K9/00335
Abstract: Methods, systems, and processor-readable media for video anomaly detection based upon a sparsity model. A video input can be received and two or more diverse descriptors of an event can be computed from the video input. The descriptors can be combined to form an event matrix. A sparse reconstruction of the event matrix can be performed with respect to an over complete dictionary of training events represented by the diverse descriptors. A step can then be performed to determine if the event is anomalous by computing an outlier rejection measure on the sparse reconstruction.
Abstract translation: 基于稀疏模型的视频异常检测的方法，系统和处理器可读介质。 可以接收视频输入，并且可以从视频输入计算事件的两个或多个不同描述符。 描述符可以组合形成一个事件矩阵。 相对于由不同描述符表示的训练事件的完整字典，可以执行事件矩阵的稀疏重建。 然后可以执行一个步骤，以通过计算稀疏重建的异常值拒绝测量来确定事件是否是异常的。
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20.发明授权Video tracking based method for automatic sequencing of vehicles in drive-thru applications 有权基于视频跟踪的方法，用于在直通应用中自动排序车辆公开(公告)号：US09471889B2
公开(公告)日：2016-10-18
申请号：US14260915
申请日：2014-04-24
Applicant: Xerox Corporation
Inventor： Aaron M. Burry , Peter Paul , Edgar A. Bernal , Orhan Bulan
CPC classification number: G06Q10/06316 , G06K9/00711 , G06K9/00785 , G06K9/00791 , G06K9/6267 , G06Q50/12 , G06T7/20
Abstract: 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: 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。
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