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公开(公告)号:US20230213388A1
公开(公告)日:2023-07-06
申请号:US17998881
申请日:2020-10-14
Inventor: Haocheng Feng , Haixiao Yue , Keyao Wang , Gang Zhang , Yanwen Fan , Xiyu Yu , Junyu Han , Jingtuo Liu , Errui Ding , Haifeng Wang
IPC: G01J5/00
CPC classification number: G01J5/0025 , G01J2005/0077
Abstract: A method and an apparatus for measuring temperature, and a computer-readable storage medium includes detecting a target position of an object in an input image; determining key points of the target position and weight information of each key point based on a detection result of the target position, in which the weight information is configured to indicate a probability of each key point being covered; acquiring temperature information of each key point; and determining a temperature of the target position at least based on the temperature information and the weight information of each key point.
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公开(公告)号:US20230196587A1
公开(公告)日:2023-06-22
申请号:US17925527
申请日:2020-10-14
Inventor: Haixiao Yue , Haocheng Feng , Keyao Wang
CPC classification number: G06T7/248 , G06V10/462 , G06V20/46 , G06T2207/20076 , G06T2207/30196
Abstract: A target part tracking method and apparatus, an electronic device and a computer-readable storage medium, which relate to the field of artificial intelligence, and specifically relate to computer vision. Said method may comprise: on the basis of a previous detection area for a target part of an object in a previous frame of a video, determining a current detection area for detecting the target part in a current frame of the video (302). The method further comprises: determining the probability of the target part being within the current detection area (304). In addition, the method may further comprise: in response to the probability being greater than or equal to a predetermined threshold, determining a subsequent detection area for detecting the target part in a subsequent frame of the video at least on the basis of the current detection area and the previous detection area (306). According to the method, position information of a tracked target part can be acquired rapidly, efficiently and at a low cost, thereby reducing the computing power and time costs for target part tracking.
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