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公开(公告)号:US20230281844A1
公开(公告)日:2023-09-07
申请号:US18316047
申请日:2023-05-11
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Shahar Ben Ezra , Zohar Barzelay , Eli Sason , Yilun Chen
CPC classification number: G06T7/50 , G06T7/60 , G06T7/73 , G06T2207/30244 , G06T2207/10028 , G06T2207/30252
Abstract: The present disclosure relates to a device for verifying estimated depth information. The device obtains an image of a scene, wherein the image comprises at least one object of interest having a set of points, obtains a height information for at least one point from the set of points of the object of interest, and estimates a first depth information for the at least one point, based on the obtained height information and detects a corresponding position of the at least one point in the obtained image. The device further receives, from another device, a second depth information for the at least one point, and determines a validity of the estimated second depth information, based on determining a measure of dissimilarity between the first depth information and the second depth information for the at least one point.
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公开(公告)号:US20230237811A1
公开(公告)日:2023-07-27
申请号:US18187508
申请日:2023-03-21
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Darya Frolova , Shahar Ben Ezra , Pavel Kisilev , Xiaoli She , Yu Xie
CPC classification number: G06V20/58 , G06V20/588 , G06T5/002 , G06V10/82 , G06V2201/07
Abstract: A method and a computing device for object detection and tracking from a video input are described. The method and the computing device may be used to, for example, track objects of interest, such as lane markings, in traffic. A plurality of frames corresponding to a video may be analyzed in a spatiotemporal domain by a neural network. The neural network may be trained using data synthesized in the spatiotemporal domain.
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