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    • 56. 发明授权
    • Video-based vehicle speed estimation from motion vectors in video streams
    • 视频流中运动矢量的基于视频的车速估计
    • US09582722B2
    • 2017-02-28
    • US13600742
    • 2012-08-31
    • Edgar A. BernalWencheng WuOrhan BulanRobert P. Loce
    • Edgar A. BernalWencheng WuOrhan BulanRobert P. Loce
    • H04N7/18G06K9/00
    • G06K9/00785H04N7/18
    • 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).
    • 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)。
    • 59. 发明授权
    • Multiple view transportation imaging systems
    • 多视图运输成像系统
    • US08731245B2
    • 2014-05-20
    • US13414167
    • 2012-03-07
    • Helen HaeKyung ShinRobert P. LoceWencheng WuThomas F. WadePeter PaulEdgar Bernal
    • Helen HaeKyung ShinRobert P. LoceWencheng WuThomas F. WadePeter PaulEdgar Bernal
    • G06K9/00
    • G08G1/04G08G1/017
    • A camera may be positioned to have a direct view of on-coming vehicle traffic from a first perspective. Additionally, a reflective surface, such as a mirror, may be positioned within the viewing area of the same camera to provide the camera with a reflected view of vehicle traffic from a second perspective. The images recorded by the camera may then be received by a computing device. The computing device may separate the images into a direct view region and a reflected view region. After separation, the regions may be analyzed independently and/or combined with other regions, and the analyzed data may be stored. The regions may be analyzed to determine various vehicle characteristics, including, but not limited to, vehicle speed, license plate identification, vehicle occupancy, vehicle count, and vehicle type.
    • 照相机可以从第一角度定位成直接观看即将到来的车辆交通。 此外,诸如反射镜的反射表面可以被定位在同一照相机的观看区域内,以从第二角度向相机提供车辆交通的反射视图。 然后可以由计算设备接收由相机记录的图像。 计算设备可以将图像分离成直视区域和反射视区。 分离后,可以独立地和/或与其它区域组合分析区域,并且可以存储分析的数据。 可以分析区域以确定各种车辆特性,包括但不限于车辆速度,车牌识别,车辆占用,车辆数量和车辆类型。