DETERMINING CAMERA HEIGHT USING DISTRIBUTIONS OF OBJECT HEIGHTS AND OBJECT IMAGE HEIGHTS
    12.
    发明申请
    DETERMINING CAMERA HEIGHT USING DISTRIBUTIONS OF OBJECT HEIGHTS AND OBJECT IMAGE HEIGHTS 有权
    使用对象高分辨率和对象图像高分辨率确定摄像机高度

    公开(公告)号:US20160203611A1

    公开(公告)日:2016-07-14

    申请号:US15076953

    申请日:2016-03-22

    摘要: A camera at a fixed vertical height positioned above a reference plane, with an axis of a camera lens at an acute angle with respect to a perpendicular of the reference plane. One or more processors receive camera images of a multiplicity of people of unknown height and vertical axis of the images are transformed into pixel counts. The known heights of people from a known statistical distribution of heights of people are received by one or more processors and transformed to a normalized measurement of pixel counts, based in part on a focal length of the camera lens, the angle of the camera, and an objective function summing differences between pixel counts of the known heights of people and the unknown heights of people. The fixed vertical height of the camera is determined by adjusting the estimated camera height to minimize the objective function.

    摘要翻译: 位于参考平面上方的固定垂直高度的相机,相机透镜的轴线相对于参考平面的垂直方向成锐角。 一个或多个处理器接收多个未知高度的人的摄像机图像,并且图像的垂直轴被转换成像素数。 来自人们已知的人的统计分布的已知高度由一个或多个处理器接收,并且部分地基于相机镜头的焦距,照相机的角度以及相机的角度而被转换为像素计数的归一化测量 一个客观函数求和人们已知高度的像素数与人的未知高度之间的差异。 相机的固定垂直高度通过调整估计的摄像机高度来确定,以最小化目标功能。

    LONG-TERM STATIC OBJECT DETECTION
    13.
    发明申请
    LONG-TERM STATIC OBJECT DETECTION 有权
    长期静态对象检测

    公开(公告)号:US20160063344A1

    公开(公告)日:2016-03-03

    申请号:US14830273

    申请日:2015-08-19

    摘要: Software for static object detection that performs the following operations: (i) detecting an object that is present in at least one image of a set of images, wherein the set of images correspond to a time period; (ii) identifying a set of corner points for the detected object; (iii) tracking the object's presence in the set of images over the time period, wherein the object's presence is determined by matching the set of images to a template generated based on the identified corner points; and (iv) identifying the object as a static object when an amount of time corresponding to the object's presence in the set of images is greater than a predefined threshold.

    摘要翻译: 执行以下操作的用于静态对象检测的软件:(i)检测存在于一组图像的至少一个图像中的对象,其中所述一组图像对应于时间段; (ii)识别被检测物体的一组角点; (iii)在所述时间段内跟踪所述对象在所述图像组中的存在,其中通过将所述图像集合与基于所识别的角点生成的模板匹配来确定所述对象的存在; 以及(iv)当与所述对象在所述图像组中的存在相对应的时间量大于预定阈值时,将所述对象识别为静态对象。

    Optimizing video stream processing
    14.
    发明授权
    Optimizing video stream processing 有权
    优化视频流处理

    公开(公告)号:US09197868B2

    公开(公告)日:2015-11-24

    申请号:US14022324

    申请日:2013-09-10

    IPC分类号: H04N7/18 G06K9/00

    摘要: Transaction units of video data and transaction data captured from different checkout lanes are prioritized as a function of lane priority values of respective ones of the different checkout lanes from which the transaction units are acquired. Each of the checkout lanes has a different lane priority value. The individual transaction units are processed in the prioritized processing order to automatically detect irregular activities indicated by the transaction unit video and the transaction data of the processed individual transaction units.

    摘要翻译: 从不同结算通道捕获的视频数据和交易数据的交易单元被优先考虑获取交易单元的不同结帐通道中各自的通道优先级值的函数。 每个结帐通道都有不同的车道优先级值。 以优先处理顺序处理单个交易单元,以自动检测由交易单元视频指示的不规则活动和处理的单个交易单元的交易数据。

    HIERARCHICAL RANKING OF FACIAL ATTRIBUTES
    15.
    发明申请
    HIERARCHICAL RANKING OF FACIAL ATTRIBUTES 有权
    物理属性的分级排序

    公开(公告)号:US20150324368A1

    公开(公告)日:2015-11-12

    申请号:US14803485

    申请日:2015-07-20

    IPC分类号: G06F17/30 G06K9/00

    摘要: In response to a query of discernable facial attributes, the locations of distinct and different facial regions are estimated from face image data, each relevant to different attributes. Different features are extracted from the estimated facial regions from database facial images, which are ranked in base layer rankings as a function of relevance of extracted features to attributes relevant to the estimated regions, and in second-layer rankings as a function of combinations of the base layer rankings and relevance of the extracted features to common ones of the attributes relevant to the estimated regions. The images are ranked in relevance to the query as a function of the second-layer rankings.

    摘要翻译: 响应于可辨别的面部属性的查询,根据与不同属性相关的面部图像数据来估计不同和不同面部区域的位置。 从估计的面部区域从数据库面部图像提取不同的特征,数据库面部图像作为基于提取的特征与与估计区域相关的属性的相关性的函数被排列在基本层排名中,并且在第二层排名中作为组合的函数 基本层的排名和提取的特征与与估计区域相关的常规属性的相关性。 作为第二层次排序的函数,图像与查询相关。

    HAZARD DETECTION FOR ASSET MANAGEMENT

    公开(公告)号:US20150235082A1

    公开(公告)日:2015-08-20

    申请号:US14702835

    申请日:2015-05-04

    IPC分类号: G06K9/00 G06K9/52

    摘要: An approach that detects locations of hazardous conditions within an infrastructure is provided. This approach uses satellite imagery, GIS data, automatic image processing, and predictive modeling to determine the location of the hazards automatically, thus optimizing infrastructure management. Specifically, a hazard detection tool provides this capability. The hazard detection tool comprises a detection component configured to: receive visual media containing asset location data about a set of physical assets, and hazard location data about potential hazards within a vicinity of each of the set of physical assets. The detection component further receives graphical information system (GIS) data containing asset location data about each of the set of physical assets. The hazard detection tool further comprises an analysis component configured to: analyze the visual media to determine if a hazardous condition exists for each of the set of physical assets; and apply the GIS data to the visual media to determine a location of hazardous conditions within the infrastructure.

    Boosting object detection performance in videos
    19.
    发明授权
    Boosting object detection performance in videos 有权
    提高视频中的对象检测性能

    公开(公告)号:US08948454B2

    公开(公告)日:2015-02-03

    申请号:US13732471

    申请日:2013-01-02

    IPC分类号: G06K9/00 G06K9/34

    摘要: A method and system for training a special object detector to distinguish a foreground object appearing in a sequence of frames for a target domain. The sequence of frames depicts motion of the foreground object in a non-uniform background. The foreground object is detected in a high-confidence subwindow of an initial frame of the sequence, which includes computing a measure of confidence that the high-confidence subwindow includes the foreground object and determining that the measure of confidence exceeds a specified confidence threshold. The foreground object is tracked in respective positive subwindows of subsequent frames appearing after the initial frame. The subsequent frames are within a specified short period of time. The positive subwindows are used to train the special object detector to detect the foreground object in the target domain. The positive subwindows include the subwindow of the initial frame and the respective subwindows of the subsequent frames.

    摘要翻译: 一种用于训练特殊对象检测器以区分出现在目标域的帧序列中的前景对象的方法和系统。 帧序列描绘了前景对象在非均匀背景中的运动。 在序列的初始帧的高可信度子窗口中检测前景对象,其包括计算高置信度子窗口包括前景对象并确定置信度量度超过指定的置信阈值的置信度度量。 在初始帧之后出现的后续帧的相应正向子窗中跟踪前景对象。 随后的帧在指定的短时间内。 正向子窗口用于训练特殊对象检测器以检测目标域中的前景对象。 正向子窗口包括初始帧的子窗口和后续帧的相应子窗口。

    Incorporating video meta-data in 3D models
    20.
    发明授权
    Incorporating video meta-data in 3D models 有权
    将视频元数据纳入3D模型

    公开(公告)号:US08630460B2

    公开(公告)日:2014-01-14

    申请号:US13890339

    申请日:2013-05-09

    IPC分类号: G06K9/00 H04N5/225

    摘要: A moving object detected and tracked within a field of view environment of a two-dimensional data feed of a calibrated video camera is represented by a three-dimensional model through localizing a centroid of the object and determining an intersection with a ground-plane within the field of view environment. An appropriate three-dimensional mesh-based volumetric model for the object is initialized by using a back-projection of a corresponding two-dimensional image as a function of the centroid and the determined ground-plane intersection. A texture of the object is projected onto the three-dimensional model, and two-dimensional tracks of the object are upgraded to three-dimensional motion to drive a three-dimensional model.

    摘要翻译: 在校准的摄像机的二维数据馈送的视场环境内检测和跟踪的移动物体通过定位对象的质心并且确定与该对象内的接地平面相交的三维模型来表示 视野环境。 通过使用对应的二维图像的反投影作为质心和确定的接地平面交点的函数来初始化用于对象的适当的基于三维网格的体积模型。 将对象的纹理投影到三维模型上,并将对象的二维轨迹升级为三维运动以驱动三维模型。