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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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公开(公告)号:US10735141B2
公开(公告)日:2020-08-04
申请号:US16229820
申请日:2018-12-21
Applicant: Huawei Technologies Co., Ltd.
Inventor: Amir Bennatan , Yoni Choukroun , Pavel Kisilev , Junqiang Shen
Abstract: A system for reducing analog noise in a noisy channel, comprising: an interface configured to receive analog channel output comprising a stream of noisy binary codewords of a linear code; and a computation component configured to perform the following: for each analog segment of the analog channel output of block length: calculating an absolute value representation and a sign representation of a respective analog segment, calculating a multiplication of a binary representation of the sign representation with a parity matrix of the linear code, inputting the absolute value representation and the outcome of the multiplication into a neural network for acquiring a neural network output, and estimating a binary codeword by component-wise multiplication of the neural network output and the sign representation.
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