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    METHOD AND SYSTEM FOR UPDATING BACKGROUND MODEL BASED ON DEPTH
    1.
    发明申请
    METHOD AND SYSTEM FOR UPDATING BACKGROUND MODEL BASED ON DEPTH 有权
    基于深度更新背景模型的方法和系统

    公开(公告)号：US20150371398A1

    公开(公告)日：2015-12-24

    申请号：US14740641

    申请日：2015-06-16

    申请人： Gang QIAO ,  Xin WANG ,  Shengyin FAN ,  Qian WANG ,  Jiadan ZHU

    发明人： Gang QIAO ,  Xin WANG ,  Shengyin FAN ,  Qian WANG ,  Jiadan ZHU

    IPC分类号： G06T7/00 ,  G06T7/20 ,  H04N13/00 ,  G06T1/00

    CPC分类号： G06T7/194 ,  G06K9/00 ,  G06T7/11 ,  G06T7/174 ,  G06T2207/10021 ,  G06T2207/10028 ,  G06T2207/20224 ,  H04N13/239

    摘要： A method and a system for updating a background model based on depth are disclosed. The method includes receiving, in response to the occurrence of a predetermined background updating condition, one or more depth images captured after a time when the predetermined background updating condition occurs; obtaining, based on an original background model, foreground images in the one or more captured depth images, which are newly added compared with a depth image at the time when the predetermined background updating condition occurs; for each of foreground pixels in each of the newly added foreground images, comparing a current depth value with a previous depth value before the time when the predetermined background updating condition occurs; and updating, when the current depth value is greater than the previous depth value, the original background model as the updated background model by using the foreground pixel in the newly added foreground image.

    摘要翻译： 公开了一种基于深度更新背景模型的方法和系统。 该方法包括响应于预定的背景更新条件的发生，接收在预定的背景更新条件发生之后捕获的一个或多个深度图像; 基于原始背景模型，获得与所述预定背景更新条件发生时的深度图像相比新添加的所述一个或多个捕获的深度图像中的前景图像; 对于每个新添加的前景图像中的每个前景像素，将当前深度值与预定背景更新条件发生之前的先前深度值进行比较; 并且通过使用新添加的前景图像中的前景像素，将当前深度值大于先前深度值的原始背景模型更新为更新的背景模型。

    SHADOW DETECTION METHOD AND DEVICE
    4.
    发明申请
    SHADOW DETECTION METHOD AND DEVICE 有权
    阴影检测方法和设备

    公开(公告)号：US20140341464A1

    公开(公告)日：2014-11-20

    申请号：US14276053

    申请日：2014-05-13

    申请人： Shengyin FAN ,  Xin WANG ,  Qian WANG ,  Gang QIAO

    发明人： Shengyin FAN ,  Xin WANG ,  Qian WANG ,  Gang QIAO

    IPC分类号： G06T5/00

    CPC分类号： G06T5/008 ,  G06T7/11 ,  G06T7/194 ,  G06T2200/04 ,  G06T2207/10012 ,  G06T2207/10024 ,  G06T2207/30196 ,  G06T2207/30232

    摘要： Disclosed are a shadow detection method and device. The method includes a step of obtaining a depth/disparity map and color/grayscale image from a two-lens camera or stereo camera; a step of detecting and acquiring plural foreground points; a step of projecting the acquired plural foreground points into a 3-dimensional coordinate system; a step of carrying out, in the 3-dimensional coordinate system, a clustering process with respect to the projected plural foreground points so as to divide the projected plural foreground points into one or more point clouds; a step of calculating density distribution of each of the one or more point clouds by adopting a principal component analysis algorithm so as to obtain one or more principal component values of the corresponding point cloud; and a step of determining, based on the one or more principal component values, whether the corresponding point cloud is a shadow.

    摘要翻译： 公开了一种阴影检测方法和装置。 该方法包括从双镜头相机或立体相机获取深度/视差图和彩色/灰度图像的步骤; 检测并获取多个前景点的步骤; 将所获取的多个前景点投影到三维坐标系中的步骤; 在三维坐标系中执行相对于投影的多个前景点的聚类处理，以将投影的多个前景点划分成一个或多个点云的步骤; 通过采用主成分分析算法计算一个或多个点云中的每一个点的密度分布以便获得对应点云的一个或多个主成分值的步骤; 以及基于所述一个或多个主成分值来确定对应的点云是否是阴影的步骤。

    METHOD AND APPARATUS FOR DETECTING ABNORMAL SITUATION
    5.
    发明申请
    METHOD AND APPARATUS FOR DETECTING ABNORMAL SITUATION 审中-公开
    检测异常情况的方法和装置

    公开(公告)号：US20170024874A1

    公开(公告)日：2017-01-26

    申请号：US15143718

    申请日：2016-05-02

    申请人： Bo PANG ,  Shengyin FAN ,  Xin WANG ,  Qian WANG ,  Gang WANG

    发明人： Bo PANG ,  Shengyin FAN ,  Xin WANG ,  Qian WANG ,  Gang WANG

    IPC分类号： G06T7/00 ,  G06K9/00

    CPC分类号： G06K9/00771 ,  G06K9/00389

    摘要： A method and an apparatus for detecting an abnormal situation are disclosed. The method includes recognizing whether a detection target exists in a captured image; generating, based on the captured image, a three-dimensional point cloud of the detection target in the captured image, when the detection target exists; obtaining, based on the generated three-dimensional point cloud, one or more current posture features of the detection target; and determining, based on the current posture features and one or more predetermined posture feature standards, whether the abnormal situation exists, the posture feature standards being previously determined based on one or more common features when the detection target performs a plurality of abnormal actions.

    摘要翻译： 公开了一种用于检测异常情况的方法和装置。 该方法包括识别捕获图像中是否存在检测目标; 当所述检测目标存在时，基于所捕获的图像生成所述捕获图像中的所述检测目标的三维点云; 基于生成的三维点云获得检测对象的一个​​或多个当前姿态特征; 以及基于当前姿态特征和一个或多个预定姿势特征标准，确定是否存在异常情况，当检测目标执行多个异常动作时，基于一个或多个共同特征预先确定姿势特征标准。

    METHOD FOR DETECTING CROWD DENSITY, AND METHOD AND APPARATUS FOR DETECTING INTEREST DEGREE OF CROWD IN TARGET POSITION
    6.
    发明申请
    METHOD FOR DETECTING CROWD DENSITY, AND METHOD AND APPARATUS FOR DETECTING INTEREST DEGREE OF CROWD IN TARGET POSITION 有权
    用于检测皱纹密度的方法，以及用于检测目标位置中的褶皱感兴趣程度的方法和装置

    公开(公告)号：US20160133025A1

    公开(公告)日：2016-05-12

    申请号：US14935627

    申请日：2015-11-09

    申请人： Xin WANG ,  Shengyin FAN ,  Gang GIAO ,  Qian WANG

    发明人： Xin WANG ,  Shengyin FAN ,  Gang GIAO ,  Qian WANG

    IPC分类号： G06T7/00 ,  G06K9/00 ,  H04N7/18 ,  G06T7/20

    CPC分类号： G06K9/00778 ,  G06K9/00369 ,  G06K2009/4666

    摘要： A method and an apparatus for detecting an interest degree of a crowd in a target position are disclosed. The interest degree detection method includes projecting a depth image obtained by photographing onto a height-top-view, the depth image including the crowd and the target position; dividing the height-top-view into cells; determining density of the crowd in each cell; determining a moving speed and a moving direction of the crowd in each cell; determining orientation of the crowd in each cell; and determining, based on the density, the moving speed, the moving direction and the orientation of the crowd, the interest degree of the crowd in each cell in the target position. According to this method, the interest degree of the crowd in the target position can be detected accurately, even at a crowded place where it is difficult to detect and track a single person.

    摘要翻译： 公开了一种用于检测目标位置中的人群的兴趣度的方法和装置。 感兴趣度检测方法包括将通过拍摄获得的深度图像投影到高空俯视图，包括人群的深度图像和目标位置; 将高空顶视图分为单元格; 确定每个细胞中人群的密度; 确定每个小区中的人群的移动速度和移动方向; 确定每个细胞中人群的方向; 并且基于密度来确定人群的移动速度，移动方向和方向，将目标位置中每个单元格中的人群的兴趣度。 根据该方法，即使在难以检测和跟踪单个人的拥挤的地方，也可以准确地检测目标位置的人群的兴趣度。

    METHOD, DEVICE, AND COMPUTER-READABLE MEDIUM OF OBJECT DETECTION
    7.
    发明申请
    METHOD, DEVICE, AND COMPUTER-READABLE MEDIUM OF OBJECT DETECTION 有权
    对象检测的方法，设备和计算机可读介质

    公开(公告)号：US20110274315A1

    公开(公告)日：2011-11-10

    申请号：US13095128

    申请日：2011-04-27

    申请人： Shengyin FAN ,  Hong Yi ,  Yu Deng ,  Xin Wang

    发明人： Shengyin FAN ,  Hong Yi ,  Yu Deng ,  Xin Wang

    IPC分类号： G06K9/00

    CPC分类号： G06K9/00771 ,  G06T7/215 ,  G06T7/277 ,  G06T2207/10016 ,  G06T2207/20076 ,  G06T2207/30196

    摘要： Disclosed are an object detection method and an object detection device. The object detection method comprises a step of obtaining plural detection results of a current frame according to plural object detection methods; a step of setting initial probabilities of the plural detection results of the current frame; a step of calculating a movement frequency distribution diagram representing movement frequencies of respective pixels in the current frame; a step of obtaining detection results of a previous frame; a step of updating the probabilities of the plural detection results of the current frame; and a step of determining a final list of detected objects based on the updated probabilities of the plural detection results of the current frame.

    摘要翻译： 公开了一种物体检测方法和物体检测装置。 物体检测方法包括根据多个物体检测方法获得当前帧的多个检测结果的步骤; 设定当前帧的多个检测结果的初始概率的步骤; 计算表示当前帧中的各个像素的移动频率的移动频率分布图的步骤; 获取前一帧的检测结果的步骤; 更新当前帧的多个检测结果的概率的步骤; 以及基于当前帧的多个检测结果的更新概率来确定检测对象的最终列表的步骤。

    SCENE VIDEO SWITCH SYSTEM AND SCENE VIDEO SWITCH METHOD
    8.
    发明申请
    SCENE VIDEO SWITCH SYSTEM AND SCENE VIDEO SWITCH METHOD 有权
    场景视频切换系统和场景视频切换方式

    公开(公告)号：US20120182377A1

    公开(公告)日：2012-07-19

    申请号：US13324179

    申请日：2011-12-13

    申请人： Xiaomeng WANG ,  Shengyin FAN ,  Weitao GONG ,  Xin WANG

    发明人： Xiaomeng WANG ,  Shengyin FAN ,  Weitao GONG ,  Xin WANG

    IPC分类号： H04N7/15

    CPC分类号： H04N7/15 ,  H04N7/142

    摘要： Disclosed are a scene video switch system and a scene video switch method. The system comprises an input unit configured to input an image currently captured by a video capture unit to serve as a current image; a detection unit configured to detect all of interesting elements and latent elements in the current image so as to determine a maximum possible existing area of the interesting elements; a state switch unit configured to carry out, by using a predetermined finite state machine, switching between scene states of the maximum possible existing area according to predetermined different scene states and switching conditions; and a display unit configured to extract, based on a current scene state switched by the state switch unit, an area of concern coinciding with the current scene state from the maximum possible existing area to serve as a scene video for display.

    摘要翻译： 公开了一种场景视频切换系统和场景视频切换方法。 该系统包括：输入单元，被配置为输入由视频捕捉单元当前捕获的图像以用作当前图像; 检测单元，被配置为检测当前图像中的所有感兴趣元素和潜在元素，以便确定感兴趣元素的最大可能存在区域; 状态切换单元，被配置为通过使用预定的有限状态机根据预定的不同场景状态和切换条件来切换最大可能存在区域的场景状态; 以及显示单元，被配置为基于由状态切换单元切换的当前场景状态，从最大可能的现有区域提取与当前场景状态一致的关注区域，以用作用于显示的场景视频。

    OBJECT POSITIONING METHOD AND DEVICE BASED ON OBJECT DETECTION RESULTS OF PLURAL STEREO CAMERAS
    9.
    发明申请
    OBJECT POSITIONING METHOD AND DEVICE BASED ON OBJECT DETECTION RESULTS OF PLURAL STEREO CAMERAS 有权
    目标定位方法和设备基于目标检测结果的立体相机

    公开(公告)号：US20140218483A1

    公开(公告)日：2014-08-07

    申请号：US14164739

    申请日：2014-01-27

    申请人： Xin WANG ,  Shengyin FAN

    发明人： Xin WANG ,  Shengyin FAN

    IPC分类号： H04N13/02

    CPC分类号： H04N13/239 ,  G06T7/285 ,  G06T7/596 ,  G06T2207/10021 ,  H04N13/243 ,  H04N2013/0081 ,  H04N2013/0085

    摘要： Disclosed are an object positioning method and an object positioning device based on object detection results of plural stereo cameras. The method comprises a step of obtaining, when each of the plural stereo cameras continuously carries out tracking and detection with respect to each of objects, positional information of the corresponding object; a step of generating, based on the positional information of the corresponding object, a trajectory of the corresponding object; and a step of carrying out a merging process with respect to the trajectories generated corresponding to the plural stereo cameras so as to determine at least one object position.

    摘要翻译： 公开了一种基于多个立体相机的物体检测结果的物体定位方法和物体定位装置。 该方法包括当多个立体摄像机中的每一个相对于每个物体连续地执行跟踪和检测时，获得相应对象的位置信息的步骤; 基于对应对象的位置信息生成对应对象的轨迹的步骤; 以及对与多个立体照相机相对应的轨迹执行合并处理以确定至少一个物体位置的步骤。

    METHOD AND DEVICE FOR RECOGNIZING DANGEROUSNESS OF OBJECT
    10.
    发明申请
    METHOD AND DEVICE FOR RECOGNIZING DANGEROUSNESS OF OBJECT 有权
    用于识别物体危险的方法和装置

    公开(公告)号：US20160132716A1

    公开(公告)日：2016-05-12

    申请号：US14926042

    申请日：2015-10-29

    申请人： Zhongwei CHENG ,  Shengyin FAN

    发明人： Zhongwei CHENG ,  Shengyin FAN

    IPC分类号： G06K9/00 ,  G06T7/00

    CPC分类号： G06K9/00201 ,  G06K9/00771

    摘要： Disclosed is an object dangerousness recognition method comprising steps of generating, based on an image captured by a stereo camera, a heterogeneous point cloud of an object in the image, each point in the heterogeneous point cloud having depth information and planar image information; determining, based on the depth information and the planar image information of each point in the heterogeneous point cloud, a solid shape of the object, and then, generating a first dangerousness parameter according to the solid shape; determining, based on the depth information and the planar image information of each point in the heterogeneous point cloud, a surface feature of the object, and then, generating a second dangerousness parameter according to the surface feature; and generating, based on the first and second dangerousness parameters, a comprehensive dangerousness parameter of the object.

    摘要翻译： 本发明公开了一种物体危险度识别方法，包括以下步骤：基于由立体摄像机拍摄的图像，生成图像中的物体的异质点云，异质点云中的每个点具有深度信息和平面图像信息; 基于所述异质点云中的每个点的深度信息和平面图像信息，确定所述对象的实体形状，然后根据所述实体形状生成第一危险度参数; 基于所述异质点云中的每个点的深度信息和平面图像信息，确定所述对象的表面特征，然后根据所述表面特征生成第二危险度参数; 并基于第一和第二危险性参数生成对象的综合危险度参数。