公开(公告)号：US20160335490A1

公开(公告)日：2016-11-17

申请号：US15148391

申请日：2016-05-06

Applicant: Xin WANG ,  Shengyin Fan ,  Qian Wang ,  Jiadan Zhu

Inventor： Xin WANG ,  Shengyin Fan ,  Qian Wang ,  Jiadan Zhu

IPC: G06K9/00 ,  G06T7/00 ,  G06T7/40 ,  G06K9/62

CPC classification number: G06K9/00369 ,  G06K9/00778

Abstract: A method and an apparatus for detecting persons are disclosed. The method includes initially detecting the persons in a height-top-view; dividing the height-top-view into one or more regions, and estimating crowd density in each region; determining, based on the crowd density, visible regions of the initially detected persons in each of the regions; for each of the initially detected persons, extracting a first gradient feature and a second gradient feature of the person from the height-top-view, and a grayscale image or a color image corresponding to the height-top-view, respectively; for each of the initially detected persons, determining, based on the extracted first gradient feature and second gradient feature, using a previously constructed classifier corresponding to the determined visible region of the person, a confidence level of the initially detected person; and correcting, based on the confidence level, a detection result of the initially detected persons.

Abstract translation: 公开了一种用于检测人的方法和装置。 该方法包括：首先检测身高高的人物; 将高空视图划分为一个或多个区域，并估算每个区域的人群密度; 基于人群密度确定每个区域中初始检测到的人的可见区域; 对于每个初始检测到的人，分别从高空俯视图提取人的第一梯度特征和第二梯度特征，以及灰度图像或与高度 - 俯视图相对应的彩色图像; 对于每个初始检测到的人，基于所提取的第一梯度特征和第二梯度特征，使用与所确定的人的可见区域相对应的先前构造的分类器来确定初始检测到的人的置信水平; 以及基于置信水平来校正初始检测到的人的检测结果。

公开(公告)号：US10438069B2

公开(公告)日：2019-10-08

申请号：US15059787

申请日：2016-03-03

Applicant: Shengyin Fan ,  Zhongwei Cheng ,  Xin Wang ,  Qian Wang ,  Gang Qiao

Inventor： Shengyin Fan ,  Zhongwei Cheng ,  Xin Wang ,  Qian Wang ,  Gang Qiao

IPC: G06K9/46 ,  G06K9/62 ,  G06K9/00

Abstract: A method and an apparatus for detecting an abnormal situation are disclosed. The method includes detecting whether a first target exists in an obtained image; recognizing whether the first target holds an object, when the first target exists in the image; obtaining motion information of the object, when the first target holds the object; and determining, based on the motion information of the object, whether the abnormal situation exists.

公开(公告)号：US09754160B2

公开(公告)日：2017-09-05

申请号：US15151940

申请日：2016-05-11

Applicant: Qian Wang ,  Shengyin Fan ,  Xin Wang ,  Gang Qiao ,  Jiadan Zhu

Inventor： Qian Wang ,  Shengyin Fan ,  Xin Wang ,  Gang Qiao ,  Jiadan Zhu

IPC: G06K9/00

CPC classification number: G06K9/00369 ,  G06K9/00778

Abstract: Method, device, and non-transitory computer-readable medium detecting a gathering of objects based on stereo vision are disclosed, and the method comprises steps of obtaining current and prior images and a corresponding depth map; extracting foreground pixels corresponding to detection objects from the current and prior images, and projecting the foreground pixels onto a ground surface to acquire a foreground projection image including foreground projection blocks; conducting, based on image feature differences of the foreground pixels between the current and prior images, projection onto the ground surface to acquire moving foreground projection blocks; utilizing the moving foreground projection blocks to erode the foreground projection blocks to obtain still foreground projection blocks; and determining, based on the still foreground projection blocks, whether the gathering of objects exists.

公开(公告)号：US09727971B2

公开(公告)日：2017-08-08

申请号：US14740641

申请日：2015-06-16

Applicant: Gang Qiao ,  Xin Wang ,  Shengyin Fan ,  Qian Wang ,  Jiadan Zhu

Inventor： Gang Qiao ,  Xin Wang ,  Shengyin Fan ,  Qian Wang ,  Jiadan Zhu

IPC: G06K9/00 ,  G06T7/00 ,  G06T7/11 ,  G06T7/174 ,  G06T7/194 ,  H04N13/02

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

Abstract: 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.

公开(公告)号：US09142011B2

公开(公告)日：2015-09-22

申请号：US14276053

申请日：2014-05-13

Applicant: Shengyin Fan ,  Xin Wang ,  Qian Wang ,  Gang Qiao

Inventor： Shengyin Fan ,  Xin Wang ,  Qian Wang ,  Gang Qiao

IPC: G06T5/00 ,  G06T7/00

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

Abstract: 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.

Abstract translation: 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。

公开(公告)号：US09805249B2

公开(公告)日：2017-10-31

申请号：US14926042

申请日：2015-10-29

Applicant: Zhongwei Cheng ,  Shengyin Fan

Inventor： Zhongwei Cheng ,  Shengyin Fan

IPC: G06K9/00

CPC classification number: G06K9/00201 ,  G06K9/00771

Abstract: 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.