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1. 发明授权

US08855436B2 System for and method of selective video frame compression and decompression for efficient event-driven searching in large databases 有权
标题翻译：选择性视频帧压缩和解压缩的系统和方法，用于大型数据库中高效的事件驱动搜索
公开(公告)号：US08855436B2
公开(公告)日：2014-10-07
申请号：US13277719
申请日：2011-10-20
申请人： Orhan Bulan , Edgar A. Bernal , Robert P. Loce , Wencheng Wu
发明人： Orhan Bulan , Edgar A. Bernal , Robert P. Loce , Wencheng Wu
IPC分类号： G06K9/36 , G06K9/46 , H04N19/107 , H04N19/172 , H04N19/139
CPC分类号： G08G1/0133 , G06K9/00785 , H04N19/107 , H04N19/139 , H04N19/172 , H04N19/513 , H04N19/61
摘要： A method of, and system for, selective video frame compression and decompression is presented. The disclosed technique is particularly suited for efficient event-driven searching in large databases. The technique involves designating certain frames in a video sequence as reference frames, to be compressed using a first compression technique, where the remaining frames are compressed using a second compression technique. The first compression technique may be implemented without requiring data from any neighboring frames.
摘要翻译：提出了选择性视频帧压缩和解压缩的方法和系统。所公开的技术特别适用于在大数据库中有效的事件驱动搜索。该技术涉及将视频序列中的某些帧指定为参考帧，以使用第一压缩技术进行压缩，其中使用第二压缩技术来压缩剩余的帧。可以实现第一压缩技术，而不需要来自任何相邻帧的数据。

2. 发明申请

US20120207340A1 METHOD FOR AUTOMATED TIRE DETECTION AND RECOGNITION 有权
标题翻译：自动轮胎检测和识别方法
公开(公告)号：US20120207340A1
公开(公告)日：2012-08-16
申请号：US13026367
申请日：2011-02-14
申请人： Orhan Bulan , Robert P. Loce , Edgar A. Bernal , Wencheng Wu , Beilei Xu , Thomas F. Wade
发明人： Orhan Bulan , Robert P. Loce , Edgar A. Bernal , Wencheng Wu , Beilei Xu , Thomas F. Wade
IPC分类号： G06K9/00
CPC分类号： G06K9/00 , G01M17/027 , G06K9/6247 , G06K2209/19 , G06T7/0004 , G06T2207/20081 , G06T2207/30236
摘要： Methods and systems for discriminating between tires. One or more images of an unknown tire are received. One or more tread features are extracted from the images. The class of the unknown tire is determined using a classifier that matches the tread features to known tread features.
摘要翻译：用于区分轮胎的方法和系统。接收未知轮胎的一个或多个图像。从图像中提取一个或多个胎面特征。未知轮胎的类别使用将胎面特征与已知胎面特征相匹配的分类器来确定。

3. 发明申请

US20140063247A1 VIDEO-BASED VEHICLE SPEED ESTIMATION FROM MOTION VECTORS IN VIDEO STREAMS 有权
标题翻译：视频流中运动矢量的基于视频的车速估计
公开(公告)号：US20140063247A1
公开(公告)日：2014-03-06
申请号：US13600742
申请日：2012-08-31
申请人： Edgar A. Bernal , Wencheng Wu , Orhan Bulan , Robert P. Loce
发明人： Edgar A. Bernal , Wencheng Wu , Orhan Bulan , Robert P. Loce
IPC分类号： G06K9/00 , H04N7/18
CPC分类号： G06K9/00785 , H04N7/18
摘要： Automated low-complexity video-based vehicle speed estimation is described, that operates within the video stream to screen video sequences to identify and eliminate clear non-violators and/or identify and select potential violators within a multi-layer speed enforcement system, in which deeper layers provide enhanced accuracy on selected candidate (speeding) vehicles. Video motion vector clusters corresponding to a vehicle are identified and tracked across multiple frames of captured video. Movement of the motion vector clusters translated from pixels per second to real speed (e.g. miles per hour) to determine whether the vehicle was speeding. Estimated speed data is added to the video stream data is metadata, and video segments of candidate speeding vehicles are stored and/or transmitted for subsequent review (e.g. automated or manual).
摘要翻译：描述了自动低复杂度视频车辆速度估计，其在视频流内操作以屏幕视频序列以识别和消除明确的非违规者和/或识别和选择多层速度执行系统中的潜在违规者，其中更深层次的选择候选（超速）车辆的精度提高。对应于车辆的视频运动矢量簇在捕获的视频的多个帧上被识别和跟踪。将运动矢量簇的运动从每秒的像素转换为实际速度（例如，每小时英里），以确定车辆是否正在超速。估计的速度数据被添加到视频流数据是元数据，并且候选超速车辆的视频段被存储和/或发送用于随后的审查（例如自动或手动）。

4. 发明授权

US09582722B2 Video-based vehicle speed estimation from motion vectors in video streams 有权
标题翻译：视频流中运动矢量的基于视频的车速估计
公开(公告)号：US09582722B2
公开(公告)日：2017-02-28
申请号：US13600742
申请日：2012-08-31
申请人： Edgar A. Bernal , Wencheng Wu , Orhan Bulan , Robert P. Loce
发明人： Edgar A. Bernal , Wencheng Wu , Orhan Bulan , Robert P. Loce
IPC分类号： H04N7/18 , G06K9/00
CPC分类号： G06K9/00785 , H04N7/18
摘要： Automated low-complexity video-based vehicle speed estimation is described, that operates within the video stream to screen video sequences to identify and eliminate clear non-violators and/or identify and select potential violators within a multi-layer speed enforcement system, in which deeper layers provide enhanced accuracy on selected candidate (speeding) vehicles. Video motion vector clusters corresponding to a vehicle are identified and tracked across multiple frames of captured video. Movement of the motion vector clusters translated from pixels per second to real speed (e.g. miles per hour) to determine whether the vehicle was speeding. Estimated speed data is added to the video stream data is metadata, and video segments of candidate speeding vehicles are stored and/or transmitted for subsequent review (e.g. automated or manual).
摘要翻译：描述了自动低复杂度视频车辆速度估计，其在视频流内操作以屏幕视频序列以识别和消除明确的非违规者和/或识别和选择多层速度执行系统中的潜在违规者，其中更深层次的选择候选（超速）车辆的精度提高。对应于车辆的视频运动矢量簇在捕获的视频的多个帧上被识别和跟踪。将运动矢量簇的运动从每秒的像素转换为实际速度（例如，每小时英里），以确定车辆是否正在超速。估计的速度数据被添加到视频流数据是元数据，并且候选超速车辆的视频段被存储和/或发送用于随后的审查（例如自动或手动）。

5. 发明授权

US08737747B2 Method for automated tire detection and recognition 有权
标题翻译：自动轮胎检测和识别方法
公开(公告)号：US08737747B2
公开(公告)日：2014-05-27
申请号：US13026367
申请日：2011-02-14
申请人： Orhan Bulan , Robert P. Loce , Edgar A. Bernal , Wencheng Wu , Beilei Xu , Thomas F. Wade
发明人： Orhan Bulan , Robert P. Loce , Edgar A. Bernal , Wencheng Wu , Beilei Xu , Thomas F. Wade
IPC分类号： G06K9/00 , G06K9/62 , G06T7/00 , G01M17/02
CPC分类号： G06K9/00 , G01M17/027 , G06K9/6247 , G06K2209/19 , G06T7/0004 , G06T2207/20081 , G06T2207/30236
摘要： Methods and systems for discriminating between tires. One or more images of an unknown tire are received. One or more tread features are extracted from the images. The class of the unknown tire is determined using a classifier that matches the tread features to known tread features.
摘要翻译：用于区分轮胎的方法和系统。接收未知轮胎的一个或多个图像。从图像中提取一个或多个胎面特征。未知轮胎的类别使用将胎面特征与已知胎面特征相匹配的分类器来确定。

6. 发明授权

US08744132B2 Video-based method for detecting parking boundary violations 有权
标题翻译：用于检测停车边界违规的基于视频的方法
公开(公告)号：US08744132B2
公开(公告)日：2014-06-03
申请号：US13461266
申请日：2012-05-01
申请人： Orhan Bulan , Edgar A. Bernal , Robert P. Loce , Yao Rong Wang , Zhigang Fan
发明人： Orhan Bulan , Edgar A. Bernal , Robert P. Loce , Yao Rong Wang , Zhigang Fan
IPC分类号： G06K9/00 , G08G1/16
CPC分类号： G06K9/00771
摘要： A method and a system for determining a parking boundary violation includes receiving video data from a sequence of frames taken from an image capture device monitoring a parking area including at least a single parking space. A boundary is determined for defining at least one parking space in the parking area. A vehicle is detected in the parking area. A determination is made whether the detected vehicle is violating a parking regulation based on a position and size of the vehicle within the boundary.
摘要翻译：用于确定停车边界违规的方法和系统包括从监视包括至少一个停车位的停车区域的图像捕获设备接收的帧序列中接收视频数据。确定用于在停车区域中定义至少一个停车位的边界。在停车区域内检测到车辆。基于边界内的车辆的位置和大小来确定检测到的车辆是否违反停车规则。

7. 发明授权

US09424747B2 Vehicle counting methods and systems utilizing compressed video streams 有权
标题翻译：使用压缩视频流的车辆计数方法和系统
公开(公告)号：US09424747B2
公开(公告)日：2016-08-23
申请号：US13453245
申请日：2012-04-23
申请人： Edgar A. Bernal , Robert P. Loce , Orhan Bulan
发明人： Edgar A. Bernal , Robert P. Loce , Orhan Bulan
IPC分类号： G08G1/01 , G06K9/00 , H04N19/513 , H04N19/61
CPC分类号： G08G1/0133 , G06K9/00785 , H04N19/107 , H04N19/139 , H04N19/172 , H04N19/513 , H04N19/61
摘要： This disclosure provides method and systems of recording a predetermined event associated with a moving object, the predetermined event captured with an image capturing unit and one or more of the associated frames compressed, producing one or more motion vectors. According to one exemplary embodiment, vehicle counting is performed based on motion vectors produced during the data compression process, either inline or offline.
摘要翻译：本公开提供了记录与移动对象相关联的预定事件的方法和系统，用图像捕获单元捕获的预定事件和压缩的一个或多个相关联的帧，产生一个或多个运动矢量。根据一个示例性实施例，基于在数据压缩处理期间产生的在线或离线执行车辆计数。

8. 发明授权

US08737690B2 Video-based method for parking angle violation detection 有权
标题翻译：基于视频的停车角违规检测方法
公开(公告)号：US08737690B2
公开(公告)日：2014-05-27
申请号：US13461221
申请日：2012-05-01
申请人： Orhan Bulan , Robert P. Loce , Edgar A. Bernal , Yao Rong Wang , Graham S. Pennington
发明人： Orhan Bulan , Robert P. Loce , Edgar A. Bernal , Yao Rong Wang , Graham S. Pennington
IPC分类号： G06K9/00 , G08G1/16
CPC分类号： G06K9/00785
摘要： A method and a system for determining a parking angle violation includes receiving video data from a sequence of frames taken from an image capture device monitoring a parking area. The method further includes determining a first line in a current frame where the line represents a nominal orientation of the parking area. The method includes detecting a presence of a vehicle in the parking area. The method includes determining a second line in the frame where the line represents the orientation of the detected vehicle. The method further includes computing an angle between the first and second lines. The method includes determining whether the detected vehicle is violating a parking regulation based on the computed angle.
摘要翻译：用于确定停车角违规的方法和系统包括从监视停车区域的图像拍摄装置获取的帧序列中接收视频数据。该方法还包括确定当前帧中的第一行，其中该行表示停车区域的标称取向。该方法包括在停车区域中检测车辆的存在。该方法包括确定帧中的第二行，其中该线表示检测到的车辆的取向。该方法还包括计算第一和第二线之间的角度。该方法包括基于计算出的角度来确定检测到的车辆是否违反停车调节。

9. 发明申请

US20140071286A1 METHOD FOR STOP SIGN LAW ENFORCEMENT USING MOTION VECTORS IN VIDEO STREAMS 有权
标题翻译：在视频流中使用运动矢量停止标志法执行的方法
公开(公告)号：US20140071286A1
公开(公告)日：2014-03-13
申请号：US13613174
申请日：2012-09-13
申请人： Edgar A. Bernal , Orhan Bulan , Robert P. Loce
发明人： Edgar A. Bernal , Orhan Bulan , Robert P. Loce
IPC分类号： G06K9/62 , H04N7/18
CPC分类号： G01S3/7864 , G06K9/00771 , G06K9/00785 , G06K9/6218 , G06T7/20 , G06T7/215 , G06T7/223 , G06T7/246 , G06T7/269 , G06T2207/30236 , G08G1/0175 , G08G1/04 , G08G1/096716 , G08G1/096741 , G08G1/096783 , H04N19/139 , H04N19/513
摘要： A method for enforcing traffic signal compliance includes acquiring a series of temporal related image frames including a target area. Each image frame includes pixel data representative of the target area. The method includes generating one or more motion vectors between two or more of the image frames. The motion vectors are the type produced by compressing the pixel data associated with the two or more image frames. The method includes associating a cluster of motion vectors with a vehicle. The method further includes tracking a position of the vehicle across the two or more image frames. Using the tracking results, the method includes determining whether the vehicle stops in the target area. For the vehicle being determined as not stopping, the method includes signaling an occurrence of noncompliance.
摘要翻译：用于执行交通信号符合性的方法包括获取包括目标区域的一系列时间相关图像帧。每个图像帧包括表示目标区域的像素数据。该方法包括在两个或多个图像帧之间生成一个或多个运动矢量。运动矢量是通过压缩与两个或更多个图像帧相关联的像素数据而产生的类型。该方法包括将运动矢量群与车辆相关联。该方法还包括跟踪车辆在两个或多个图像帧上的位置。使用跟踪结果，该方法包括确定车辆是否停在目标区域中。对于被确定为不停止的车辆，该方法包括发信号通知违规的发生。

10. 发明授权

US08666117B2 Video-based system and method for detecting exclusion zone infractions 有权
$Video-based system and method for detecting exclusion zone infractions$
标题翻译：基于视频的系统和检测排除区违规的方法
公开(公告)号：US08666117B2
公开(公告)日：2014-03-04
申请号：US13441253
申请日：2012-04-06
申请人： Orhan Bulan , Yao Rong Wang , Robert P. Loce , Edgar A. Bernal , Zhigang Fan , Graham S. Pennington , David P. Cummins
发明人： Orhan Bulan , Yao Rong Wang , Robert P. Loce , Edgar A. Bernal , Zhigang Fan , Graham S. Pennington , David P. Cummins
IPC分类号： G06K9/00 , G08G1/16
CPC分类号： G06K9/00771 , G06K9/3233
摘要： A method for determining a parking violation includes receiving video data as a sequence of frames provided by a camera. The method includes defining a location of an exclusion zone in the video data. The method includes detecting a vehicle located in the defined exclusion zone. The detecting includes determining a background in an initial frame of the video data and determining a background in a select frame by applying a predetermined updating process. The detecting includes subtracting the background of the select frame from the initial frame to obtain an image difference. The detecting includes classifying the pixels in the image difference as foreground or background pixels and classifying the pixels in the foreground image as vehicle or non-vehicle pixels. The method includes determining a duration that the detected vehicle is in the exclusion zone based on a number of the sequence of frames including the detected vehicle.
摘要翻译：用于确定停车违规的方法包括接收视频数据作为由相机提供的帧序列。该方法包括在视频数据中定义排除区域的位置。该方法包括检测位于限定的禁区中的车辆。检测包括确定视频数据的初始帧中的背景，并通过应用预定的更新过程来确定选择帧中的背景。检测包括从初始帧中减去选择帧的背景以获得图像差异。检测包括将图像差异中的像素分类为前景或背景像素，并将前景图像中的像素分类为车辆或非车辆像素。该方法包括基于包括检测到的车辆的帧序列的数量来确定检测到的车辆在排除区域中的持续时间。

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