HUMAN ACTION DATA SET GENERATION IN A MACHINE LEARNING SYSTEM

    公开(公告)号:US20190294871A1

    公开(公告)日:2019-09-26

    申请号:US15934315

    申请日:2018-03-23

    Abstract: Methods, apparatuses, and computer-readable mediums for generating human action data sets are disclosed by the present disclosure. In an aspect, an apparatus may receive a set of reference images, where each of the images within the set of reference images includes a person, and a background image. The apparatus may identify body parts of the person from the set of reference image and generate a transformed skeleton image by mapping each of the body parts of the person to corresponding skeleton parts of a target skeleton. The apparatus may generate a mask of the transformed skeleton image. The apparatus may generate, using machine learning, a frame of the person formed according to the target skeleton within the background image.

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