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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.
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2.发明申请METHOD AND APPARATUS FOR DETECTING ABNORMAL SITUATION, AND NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM 审中-公开检测异常情况的方法和装置，以及非终端计算机可读记录介质公开(公告)号：US20160267328A1
公开(公告)日：2016-09-15
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
CPC classification number: G06K9/00771 , G06K9/4671 , G06K9/6223 , G06K2209/40
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.
Abstract translation: 公开了一种用于检测异常情况的方法和装置。 该方法包括检测所获得的图像中是否存在第一目标; 识别第一目标是否保存对象，当图像中存在第一目标时; 当所述第一目标保持所述对象时，获得所述对象的运动信息; 以及基于所述物体的运动信息来确定是否存在异常情况。
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公开(公告)号：US20160132716A1
公开(公告)日：2016-05-12
申请号：US14926042
申请日：2015-10-29
Applicant: Zhongwei CHENG , Shengyin FAN
Inventor： Zhongwei CHENG , Shengyin FAN
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.
Abstract translation: 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。
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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
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.
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