VEHICLE OCCUPANCY DETECTION USING PASSENGER TO DRIVER FEATURE DISTANCE
    31.
    发明申请
    VEHICLE OCCUPANCY DETECTION USING PASSENGER TO DRIVER FEATURE DISTANCE 有权
    使用乘客驾驶特征距离的车辆危害检测

    公开(公告)号:US20150324653A1

    公开(公告)日:2015-11-12

    申请号:US14273774

    申请日:2014-05-09

    CPC classification number: G06K9/00838 B60R1/00 G08G1/04

    Abstract: A method, system, and apparatus for vehicle occupancy detection comprises collecting image data of a vehicle, creating a first value according to a plurality of characteristics of a driver position of the vehicle, and then creating at least one other value according to a plurality of characteristics of at least one other candidate occupant position in the vehicle. The characteristics of the driver position of the vehicle and candidate occupant position of the vehicle are compared in order to determine the vehicle occupancy.

    Abstract translation: 一种用于车辆占用检测的方法,系统和装置,包括:收集车辆的图像数据,根据车辆的驾驶员位置的多个特征创建第一值,然后根据多个 车辆中至少一个其他候选乘客位置的特征。 比较车辆的驾驶员位置和车辆候选乘客位置的特性,以确定车辆占用。

    Method and apparatus for an adaptive threshold based object detection
    32.
    发明授权
    Method and apparatus for an adaptive threshold based object detection 有权
    用于基于自适应阈值的对象检测的方法和装置

    公开(公告)号:US09177214B1

    公开(公告)日:2015-11-03

    申请号:US14249981

    申请日:2014-04-10

    Abstract: A method, non-transitory computer readable medium, and apparatus for detecting an object in an image are disclosed. For example, the method receives the image, calculates a score for each one of a plurality of locations in the image, performs a box plot of the score of the each one of the plurality of locations of the image, identifies an outlier score that falls outside of the box plot, determines that a distance ratio of the outlier score is less than a predefined distance ratio and detects the object in a location of the plurality of locations of the image corresponding to the outlier score.

    Abstract translation: 公开了一种用于检测图像中的对象的方法,非暂时计算机可读介质和装置。 例如,该方法接收图像,计算图像中的多个位置中的每个位置的分数,执行图像的多个位置中的每个位置的得分的框图,识别下降的异常值分数 在盒子图之外,确定离群值的距离比例小于预定距离比,并且在对应于异常值的图像的多个位置的位置中检测对象。

    METHOD AND APPARATUS FOR PROCESSING IMAGE OF SCENE OF INTEREST
    33.
    发明申请
    METHOD AND APPARATUS FOR PROCESSING IMAGE OF SCENE OF INTEREST 有权
    处理场景图像的方法和装置

    公开(公告)号:US20150248590A1

    公开(公告)日:2015-09-03

    申请号:US14195036

    申请日:2014-03-03

    Abstract: A method for processing an image of a scene of interest includes receiving an original target image of a scene of interest at an image processing device from an image source device, the original target image exhibiting shadowing effects associated with the scene of interest when the original target image was captured, the original target image comprising a plurality of elements and representing an instantaneous state for the scene of interest, pre-processing the original target image using a modification identification algorithm to identify elements of the original target image to be modified, and generating a copy mask with a mask region representing the elements to be modified and a non-mask region representing other elements of the original target image. An image processing device for processing an image of a scene of interest and a non-transitory computer-readable medium are also provided.

    Abstract translation: 用于处理感兴趣场景的图像的方法包括:从图像源装置在图像处理装置处接收感兴趣场景的原始目标图像,原始目标图像在原始目标时显示与感兴趣场景相关联的阴影效果 拍摄图像,原始目标图像包括多个元素并表示感兴趣场景的瞬时状态,使用修改识别算法对原始目标图像进行预处理,以识别要修改的原始目标图像的元素,并且生成 具有表示要修改的元素的掩模区域的复制掩模和表示原始目标图像的其他元素的非掩模区域。 还提供了一种用于处理感兴趣场景的图像和非暂时性计算机可读介质的图像处理装置。

    SYSTEM AND METHOD FOR AUTOMATED SEQUENCING OF VEHICLE UNDER LOW SPEED CONDITIONS FROM VIDEO
    34.
    发明申请
    SYSTEM AND METHOD FOR AUTOMATED SEQUENCING OF VEHICLE UNDER LOW SPEED CONDITIONS FROM VIDEO 有权
    在视频下低速条件下车辆自动序列的系统和方法

    公开(公告)号:US20150054957A1

    公开(公告)日:2015-02-26

    申请号:US13975245

    申请日:2013-08-23

    CPC classification number: G08G1/0175 G06K9/00785

    Abstract: A computer-implemented method, system, and computer-readable medium is disclosed for determining a sequence order for vehicles in one or more image frames from an operational video, the operational video acquired from a fixed video camera comprising a field of view associated with a vehicle merge area where upstream traffic from a first lane and upstream traffic from a second lane merge to a single lane. The method can include obtaining operational video from a fixed video camera; detecting, within a region of interest (ROI) of the one or more image frames from the operational video, a first area and a second area in the vehicle merge area using a trained classifier that is trained to detect the first area and the second area; and determining the sequence order of the vehicles based on the first area and the second area that are detected.

    Abstract translation: 公开了一种计算机实现的方法,系统和计算机可读介质,用于确定来自操作视频的一个或多个图像帧中的车辆的序列顺序,从固定摄像机获取的操作视频,包括与视频相关联的视场 车辆合并区域,其中来自第一车道的上游车流和来自第二车道的上游车流合并到单车道。 该方法可以包括从固定摄像机获取操作视频; 在运行视频中的一个或多个图像帧的感兴趣区域(ROI)内检测车辆合并区域中的第一区域和第二区域,使用经过训练的训练分类器来检测第一区域和第二区域 ; 以及基于检测到的第一区域和第二区域确定车辆的顺序。

    METHODS, SYSTEMS AND PROCESSOR-READABLE MEDIA FOR DESIGNING A LICENSE PLATE OVERLAY DECAL HAVING INFRARED ANNOTATION MARKS
    35.
    发明申请
    METHODS, SYSTEMS AND PROCESSOR-READABLE MEDIA FOR DESIGNING A LICENSE PLATE OVERLAY DECAL HAVING INFRARED ANNOTATION MARKS 有权
    用于设计具有红外线警告标志的许可证板块覆盖层的方法,系统和处理器可读介质

    公开(公告)号:US20140328518A1

    公开(公告)日:2014-11-06

    申请号:US13887541

    申请日:2013-05-06

    Abstract: Methods, systems and processor-readable media for providing a license plate overlay decal with an infrared readable annotation mark for an optical character recognition and segmentation. The annotation mark with respect to character image of a license plate can be designed by training an ALPR engine to improve automatic license plate recognition performance. A plate overlay decal can be rendered with the annotation mark and attached to a license plate. The annotation mark can also be directly placed on the license plate when the license plate is rendered. The annotation mark is visible when illuminated by an infrared light and the license plate appears normal in visible light. The annotation mark enables an ALPR imaging system to obtain more information for each character and utilize the information to improve conclusion accuracy.

    Abstract translation: 方法,系统和处理器可读介质,用于提供用于光学字符识别和分割的红外可读注释标记的牌照覆盖贴花。 关于车牌字符图像的注解标记可以通过训练一个ALPR引擎来提高车牌自动识别性能来设计。 可以使用注释标记渲染板覆盖贴花并附加到牌照。 当车牌被渲染时,注解标记也可以直接放置在车牌上。 注意标志在被红外线照射时可见,并且牌照在可见光下显示正常。 注释标记使得ALPR成像系统可以获得每个角色的更多信息,并利用该信息来提高结论准确性。

    WINDSHIELD LOCALIZATION FOR OCCUPANCY DETECTION
    36.
    发明申请
    WINDSHIELD LOCALIZATION FOR OCCUPANCY DETECTION 有权
    用于家庭检测的WINDSHIELD本地化

    公开(公告)号:US20140301597A1

    公开(公告)日:2014-10-09

    申请号:US13859047

    申请日:2013-04-09

    CPC classification number: G06K9/00832 G06K9/00785

    Abstract: A system and method to capture an image of an oncoming target vehicle and localize the windshield of the target vehicle. Upon capturing an image, it is then analyzed to detect certain features of the target vehicle. Based on geometrical relationships of the detected features, the area of the image containing the windshield of the vehicle can then be identified and localized for downstream processing.

    Abstract translation: 捕获迎面而来的目标车辆的图像并定位目标车辆的挡风玻璃的系统和方法。 在捕获图像时,然后对其进行分析以检测目标车辆的某些特征。 基于检测到的特征的几何关系,可以识别包含车辆挡风玻璃的图像的区域,以便进行下游处理。

    Method and system for estimating gaze direction of vehicle drivers

    公开(公告)号:US09881221B2

    公开(公告)日:2018-01-30

    申请号:US14274315

    申请日:2014-05-09

    CPC classification number: G06K9/00845 G06K9/00281 G06K9/6277

    Abstract: Methods and systems for continuously monitoring the gaze direction of a driver of a vehicle over time. Video is received, which is captured by a camera associated with, for example, a mobile device within a vehicle, the camera and/or mobile device mounted facing the driver of the vehicle. Frames can then be extracted from the video. A facial region can then be detected, which corresponds to the face of the driver within the extracted frames. Features descriptors can then be computed from the facial region. A gaze classifier derived from the vehicle, the driver, and the camera can then be applied, wherein the gaze classifier receives the feature descriptors as inputs and outputs at least one label corresponding to one or more predefined finite number of gaze classes to identify the gaze direction of the driver of the vehicle.

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