ENHANCED MACHINE LEARNING MODEL FOR JOINT DETECTION AND MULTI PERSON POSE ESTIMATION

    公开(公告)号:US20230137337A1

    公开(公告)日:2023-05-04

    申请号:US17851651

    申请日:2022-06-28

    Abstract: A technique for key-point detection, including receiving, by a machine learning model, an input image, generating a set of image features for the input image, determining, by the machine learning model, based on the set of image features, a bounding box for an object detected in the input image, the bounding box described by bounding box information, identifying, by the machine learning model, based on the set of image features and a center point of the bounding box, a plurality of key-points associated with the object, filtering the plurality of key-points based on a confidence score associated with each key-point of the plurality of key-points, and outputting coordinates of the plurality of key-points, confidence scores associated with the plurality of key-points, and the bounding box information.

    OBJECT DETECTION FOR DISTORTED IMAGES

    公开(公告)号:US20220180642A1

    公开(公告)日:2022-06-09

    申请号:US17678411

    申请日:2022-02-23

    Abstract: Techniques including receiving a distorted image from a camera disposed about a vehicle, detecting, in the distorted image, corner points associated with a target object, mapping the corner points to a distortion corrected domain based on one or more camera parameters, mapping the corner points and lines between the corner points back to a distorted domain based on the camera parameters, interpolating one or more intermediate points to generate lines between the corner points in the distortion corrected domain mapping the corner points and the lines between the corner points back to a distorted domain based on the camera parameters, and adjusting a direction of travel of the vehicle based on the located target object.

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