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    VIDEO-BASED VEHICLE SPEED ESTIMATION FROM MOTION VECTORS IN VIDEO STREAMS
    2.
    发明申请
    VIDEO-BASED VEHICLE SPEED ESTIMATION FROM MOTION VECTORS IN VIDEO STREAMS 有权
    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）。

    Video-based vehicle speed estimation from motion vectors in video streams
    4.
    发明授权
    Video-based vehicle speed estimation from motion vectors in video streams 有权
    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）。

    VEHICLE REVERSE DETECTION METHOD AND SYSTEM VIA VIDEO ACQUISITION AND PROCESSING
    7.
    发明申请
    VEHICLE REVERSE DETECTION METHOD AND SYSTEM VIA VIDEO ACQUISITION AND PROCESSING 有权
    车辆逆向检测方法和系统通过视频采集和处理

    公开(公告)号：US20130106595A1

    公开(公告)日：2013-05-02

    申请号：US13283792

    申请日：2011-10-28

    申请人： Robert P. Loce ,  Wencheng Wu ,  Edgar A. Bernal ,  Thomas F. Wade

    发明人： Robert P. Loce ,  Wencheng Wu ,  Edgar A. Bernal ,  Thomas F. Wade

    IPC分类号： B60Q1/00

    CPC分类号： G06K9/00805 ,  G06K9/00785 ,  G06K9/00825 ,  G06K9/4661 ,  G06T7/246 ,  G06T2207/30236 ,  G08G1/056

    摘要： This disclosure provides a video camera and video processing alert system for detecting a vehicle in reverse. According to one exemplary embodiment, the system operates according to the following guidelines or steps: (1) Acquire video containing features relevant to reverse detection, (2) Identify feature(s) within the video frame that are relevant to a vehicle in reverse, (3) Examine identified features to extract the evidence of vehicle backing up for a current frame, (4) Apply temporal filtering on the frame-to-frame evidence, (5) Use filtered evidence for decision on triggering the alarm, (6) Triggering an alarm if indicated by the decision. The system can be implemented with relative low cost and complexity, due to the affordability of video cameras, and the fact that many drive-through locations have existing video capture infrastructure.

    摘要翻译： 本公开提供了一种用于相反地检测车辆的摄像机和视频处理警报系统。 根据一个示例性实施例，系统根据以下准则或步骤进行操作：（1）获取包含与反向检测相关的特征的视频，（2）相反地识别与车辆相关的视频帧内的特征， （3）检查识别的特征，提取车辆备份现有证据的证据;（4）对帧间证据应用时间过滤;（5）使用过滤证据进行触发报警，（6） 如果决定指示，触发警报。 由于摄像机的负担能力以及许多驱动器位置都有现有的视频采集基础设施，因此系统可以以相对较低的成本和复杂性实现。

    Multi-resolution video analysis and key feature preserving video reduction strategy for (real-time) vehicle tracking and speed enforcement systems
    8.
    发明授权
    Multi-resolution video analysis and key feature preserving video reduction strategy for (real-time) vehicle tracking and speed enforcement systems 有权
    多分辨率视频分析和关键功能，保留（实时）车辆跟踪和速度执行系统的视频减少策略

    公开(公告)号：US08953044B2

    公开(公告)日：2015-02-10

    申请号：US13253261

    申请日：2011-10-05

    申请人： Wencheng Wu ,  Edgar A. Bernal ,  Robert P. Loce ,  Martin E. Hoover

    发明人： Wencheng Wu ,  Edgar A. Bernal ,  Robert P. Loce ,  Martin E. Hoover

    IPC分类号： H04N7/18 ,  G06K9/00 ,  H04N19/33 ,  H04N19/463 ,  H04N19/59 ,  G08G1/054

    CPC分类号： G06K9/00785 ,  G06K9/00993 ,  G08G1/054 ,  H04N7/18 ,  H04N19/33 ,  H04N19/463 ,  H04N19/59

    摘要： Systems and methods are disclosed that include a video-based analysis system that detects, tracks and archives vehicles in video stream data at multiple resolutions. The system includes an image capturing device that captures video stream data having video at a first high resolution. A vehicle detection module detects at least one vehicle within the video. A vehicle analysis module is configured to analyze the video and to extract one or more key vehicle features from the video to enable identification of a vehicle of interest (VOI) according to a set of predetermined criteria. A subsampling module creates a reduced resolution video stream in a second subsampled resolution that is lower than the first high resolution while maintaining the one or more extracted key features within the reduced resolution video stream in the first high resolution, and archives the reduced resolution video stream into a video database.

    摘要翻译： 公开了包括基于视频的分析系统的系统和方法，其以多种分辨率检测，跟踪和归档视频流数据中的车辆。 该系统包括：以第一高分辨率捕获具有视频的视频流数据的图像捕获装置。 车辆检测模块检测视频内的至少一辆车辆。 车辆分析模块被配置为分析视频并从视频中提取一个或多个关键车辆特征，以使得能够根据一组预定标准识别感兴趣的车辆（VOI）。 子采样模块以低于第一高分辨率的第二子采样分辨率创建降低分辨率的视频流，同时将所提取的一个或多个提取的关键特征保持在第一高分辨率的缩小分辨率视频流内，并归档该分辨率降低的视频流 进入视频数据库。

    MULTI-RESOLUTION VIDEO ANALYSIS AND KEY FEATURE PRESERVING VIDEO REDUCTION STRATEGY FOR (REAL-TIME) VEHICLE TRACKING AND SPEED ENFORCEMENT SYSTEMS
    9.
    发明申请
    MULTI-RESOLUTION VIDEO ANALYSIS AND KEY FEATURE PRESERVING VIDEO REDUCTION STRATEGY FOR (REAL-TIME) VEHICLE TRACKING AND SPEED ENFORCEMENT SYSTEMS 有权
    多分辨率视频分析和主要功能保护视频减少策略（实时）车辆跟踪和速度执行系统

    公开(公告)号：US20130088600A1

    公开(公告)日：2013-04-11

    申请号：US13253261

    申请日：2011-10-05

    申请人： Wencheng Wu ,  Edgar A. Bernal ,  Robert P. Loce ,  Martin E. Hoover

    发明人： Wencheng Wu ,  Edgar A. Bernal ,  Robert P. Loce ,  Martin E. Hoover

    IPC分类号： H04N7/18

    CPC分类号： G06K9/00785 ,  G06K9/00993 ,  G08G1/054 ,  H04N7/18 ,  H04N19/33 ,  H04N19/463 ,  H04N19/59

    摘要： Systems and methods are disclosed that include a video-based analysis system that detects, tracks and archives vehicles in video stream data at multiple resolutions. The system includes an image capturing device that captures video stream data having video at a first high resolution. A vehicle detection module detects at least one vehicle within the video. A vehicle analysis module is configured to analyze the video and to extract one or more key vehicle features from the video to enable identification of a vehicle of interest (VOI) according to a set of predetermined criteria. A subsampling module creates a reduced resolution video stream in a second subsampled resolution that is lower than the first high resolution while maintaining the one or more extracted key features within the reduced resolution video stream in the first high resolution, and archives the reduced resolution video stream into a video database.

    摘要翻译： 公开了包括基于视频的分析系统的系统和方法，其以多种分辨率检测，跟踪和归档视频流数据中的车辆。 该系统包括：以第一高分辨率捕获具有视频的视频流数据的图像捕获装置。 车辆检测模块检测视频内的至少一辆车辆。 车辆分析模块被配置为分析视频并从视频中提取一个或多个关键车辆特征，以使得能够根据一组预定标准识别感兴趣的车辆（VOI）。 子采样模块以低于第一高分辨率的第二子采样分辨率创建降低分辨率的视频流，同时将所提取的一个或多个提取的关键特征保持在第一高分辨率的缩小分辨率视频流内，并归档该分辨率降低的视频流 进入视频数据库。