Systems and methods for memory utilization for object detection
    64.
    发明授权
    Systems and methods for memory utilization for object detection 有权
    用于对象检测的内存利用的系统和方法

    公开(公告)号:US09286217B2

    公开(公告)日:2016-03-15

    申请号:US14468208

    申请日:2014-08-25

    CPC classification number: G06F12/0802 G06F2212/60 G06K9/00973

    Abstract: A method for memory utilization by an electronic device is described. The method includes transferring a first portion of a first decision tree and a second portion of a second decision tree from a first memory to a cache memory. The first portion and second portion of each decision tree are stored contiguously in the first memory. The first decision tree and second decision tree are each associated with a different feature of an object detection algorithm. The method also includes reducing cache misses by traversing the first portion of the first decision tree and the second portion of the second decision tree in the cache memory based on an order of execution of the object detection algorithm.

    Abstract translation: 描述了一种由电子设备进行存储器利用的方法。 该方法包括将第一决策树的第一部分和第二决策树的第二部分从第一存储器传送到高速缓冲存储器。 每个决策树的第一部分和第二部分被连续地存储在第一存储器中。 第一决策树和第二决策树各自与对象检测算法的不同特征相关联。 该方法还包括通过基于对象检测算法的执行顺序遍历高速缓冲存储器中的第一决策树的第一部分和第二决策树的第二部分来减少高速缓存未命中。

    Automated graph-based programming
    66.
    发明授权
    Automated graph-based programming 有权
    自动图形编程

    公开(公告)号:US09182952B2

    公开(公告)日:2015-11-10

    申请号:US14034181

    申请日:2013-09-23

    CPC classification number: G06F8/35 G06F8/34 G06F8/42 G06F8/44

    Abstract: A method includes capturing an image of a scene that includes a diagram. The method further includes applying functional block recognition rules to image data of the image to recognize functional blocks of the diagram. The functional blocks include at least a first functional block associated with a first computer operation. The method further includes determining whether the functional blocks comply with functional block syntax rules. A functional graph is computer-generated based on the functional blocks complying with the functional block syntax rules. The functional graph corresponds to the diagram, and the functional graph includes the functional blocks.

    Abstract translation: 一种方法包括捕获包括图的场景的图像。 该方法还包括将功能块识别规则应用于图像的图像数据以识别该图的功能块。 功能块至少包括与第一计算机操作相关联的第一功能块。 该方法还包括确定功能块是否符合功能块语法规则。 基于符合功能块语法规则的功能块,计算机生成功能图。 功能图对应于图,功能图包括功能块。

    SYSTEM AND METHOD TO STABILIZE DISPLAY OF AN OBJECT TRACKING BOX
    68.
    发明申请
    SYSTEM AND METHOD TO STABILIZE DISPLAY OF AN OBJECT TRACKING BOX 有权
    用于稳定对象跟踪盒的显示的系统和方法

    公开(公告)号:US20150178943A1

    公开(公告)日:2015-06-25

    申请号:US14567119

    申请日:2014-12-11

    Abstract: A method includes receiving first data defining a first bounding box for a first image of a sequence of images. The first bounding box corresponds to a region of interest including a tracked object. The method also includes receiving object tracking data for a second image of the sequence of images, the object tracking data defining a second bounding box. The second bounding box corresponds to the region of interest including the tracked object in the second image. The method further includes determining a similarity metric for first pixels within the first bounding box and search pixels within each of multiple search bounding boxes. Search coordinates of each of the search bounding boxes correspond to second coordinates of the second bounding box shifted in one or more directions. The method also includes determining a modified second bounding box based on the similarity metric.

    Abstract translation: 一种方法包括接收为图像序列的第一图像定义第一边界框的第一数据。 第一边界框对应于包括跟踪对象的感兴趣区域。 该方法还包括接收图像序列的第二图像的对象跟踪数据,对象跟踪数据定义第二边界框。 第二边界框对应于包括第二图像中的跟踪对象的感兴趣区域。 该方法还包括确定第一边界框内的第一像素的相似性度量和搜索多个搜索边界框内的像素。 每个搜索边界框的搜索坐标对应于在一个或多个方向上移位的第二边界框的第二坐标。 该方法还包括基于相似性度量来确定修改的第二边界框。

    SYSTEMS AND METHODS FOR TRACKING AND DETECTING A TARGET OBJECT
    69.
    发明申请
    SYSTEMS AND METHODS FOR TRACKING AND DETECTING A TARGET OBJECT 有权
    跟踪和检测目标对象的系统和方法

    公开(公告)号:US20140205141A1

    公开(公告)日:2014-07-24

    申请号:US13951731

    申请日:2013-07-26

    Abstract: A method for detecting and tracking a target object is described. The method includes performing motion-based tracking for a current video frame by comparing a previous video frame and the current video frame. The method also includes selectively performing object detection in the current video frame based on a tracked parameter.

    Abstract translation: 描述用于检测和跟踪目标对象的方法。 该方法包括通过比较先前视频帧和当前视频帧来对当前视频帧执行基于运动的跟踪。 该方法还包括基于跟踪参数在当前视频帧中选择性地执行对象检测。

    Mobile Device Configured to Compute 3D Models Based on Motion Sensor Data
    70.
    发明申请
    Mobile Device Configured to Compute 3D Models Based on Motion Sensor Data 有权
    移动设备配置为基于运动传感器数据计算3D模型

    公开(公告)号:US20130194392A1

    公开(公告)日:2013-08-01

    申请号:US13673681

    申请日:2012-11-09

    CPC classification number: G06T7/564 G06T7/579 G06T2207/10016 H04N13/207

    Abstract: A particular method includes determining, based on data received from at least one motion sensor, a movement of a mobile device from a first position to a second position. The method also includes computing a three-dimensional (3D) model of an object based on a first image of the object corresponding to a first view of the object from the first position of the mobile device, a second image of the object corresponding to a second view of the object from the second position of the mobile device, and the movement of the mobile device.

    Abstract translation: 一种特定方法包括基于从至少一个运动传感器接收的数据确定移动设备从第一位置到第二位置的移动。 该方法还包括基于与移动设备的第一位置相对应的对象的第一视图的对象的第一图像来计算对象的三维(3D)模型,对象的对象的第二图像 来自移动设备的第二位置的对象的第二视图以及移动设备的移动。

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