SYSTEMS AND METHODS FOR RECOGNIZING NON-LINE-OF-SIGHT HUMAN ACTIONS

    公开(公告)号:US20240428620A1

    公开(公告)日:2024-12-26

    申请号:US18823150

    申请日:2024-09-03

    Abstract: Provided are a system and a method for recognizing non-line-of-sight human action, the method including receiving a plurality of image frames in a sequential order from an imaging device, wherein at least one of the plurality of image frames comprises at least one entity performing an action; identifying, based on the plurality of image frames, that a first partial portion of the action occurs within a field of view of the imaging device and a second partial portion of the action occurs outside the field of view of the imaging device; identifying a type of a motion which occurs during the action based on the first partial portion; extrapolating the motion based on the first partial portion, and generating a trajectory of the motion corresponding to the second partial portion of the action; and recognizing the human action from the type of the motion and the trajectory of the motion.

    METHOD AND ELECTRONIC DEVICE FOR ESTIMATING A LANDMARK POINT OF BODY PART OF SUBJECT

    公开(公告)号:US20240312176A1

    公开(公告)日:2024-09-19

    申请号:US18671412

    申请日:2024-05-22

    CPC classification number: G06V10/273 G06V10/82 G06V40/11

    Abstract: A method performed by an electronic device for estimating a landmark point of a body part of subject by electronic device is provided. The method includes generating, by the electronic device, an initial coarse estimation of the landmark point of the body part using a light-weight deep neural network, determining, by the electronic device, an occluded region of the body part based on the generated initial coarse estimation of the landmark point using a segmentation mask, estimating, by the electronic device, the occlusion probability for the landmark point in the at least one occluded region and the generated initial coarse estimation, determining, by the electronic device, a correction factor for applying on the generated initial coarse estimation as a measure of the estimated occlusion probability, and selecting, by the electronic device, a pre-defined number of neural networks by applying the determined correction factor for processing the at least one occluded region and the generated initial coarse estimation to generate final estimation of the landmark point.

    METHODS AND SYSTEMS FOR LOW LIGHT MEDIA ENHANCEMENT

    公开(公告)号:US20220398700A1

    公开(公告)日:2022-12-15

    申请号:US17889988

    申请日:2022-08-17

    Abstract: A method for enhancing media includes: receiving, by an electronic device, a media stream; performing, by the electronic device, an alignment of a plurality of frames of the media stream; correcting, by the electronic device, a brightness of the plurality of frames; selecting, by the electronic device, one of a first neural network, a second neural network, or a third neural network, by analyzing parameters of the plurality of frames having the corrected brightness, wherein the parameters include at least one of shot boundary detection and artificial light flickering; and generating, by the electronic device, an output media stream by processing the plurality of frames of the media stream using the selected one of the first neural network, the second neural network, or the third neural network.

    Apparatus and methods for generating high dynamic range media, based on multi-stage compensation of motion

    公开(公告)号:US11563898B2

    公开(公告)日:2023-01-24

    申请号:US17275422

    申请日:2019-09-11

    Abstract: Apparatus and methods for generating High Dynamic Range (HDR) media, based on multi-stage compensation of motion in a captured scene is disclosed in the embodiments herein. Embodiments herein relates to the field of image processing devices suitable for processing two or more images of different exposures and more particularly to apparatus and methods for generating a High Dynamic Range (HDR) media, based on a multi-stage compensation of motion in a captured scene. The apparatus is configured to correct exposure alignment error and media registration error from a registered plurality of media frames comprising a plurality of exposure levels corresponding to the captured scene. The apparatus is configured to remove a plurality of false ghost artefacts in the plurality of media frames. The apparatus is configured to generate the HDR media, based on a generated ghost map.

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