METHODS AND APPARATUS FOR TEAM CLASSIFICATION IN SPORTS ANALYSIS

    公开(公告)号:US20240005701A1

    公开(公告)日:2024-01-04

    申请号:US18254818

    申请日:2021-09-23

    CPC classification number: G06V40/23 G06V10/764 G06V10/82

    Abstract: An example apparatus includes processor circuitry to extract features from image data obtained from a plurality of cameras, the extraction of features performed using a plurality of sequential neural network layers; in response to each of the plurality of sequential neural network layer extracting the features, identify the extracted features in a torso region of the image data via a plurality of attention modules; estimate body landmarks from image data to localize an area; generate an upper heatmap mask based on a geometric center of the image data; calculate a loss function for the image data based on a cross-entropy loss, a pixel-wise loss, and a triplet loss determined from the extracted features and the generated heatmap mask; select lowest correlated classes based on calculated correlations between pairs of a plurality of classes; and calculate voting scores for groups associated with the lowest correlated classes.

Patent Agency Ranking