IMAGE-BASED POSE ESTIMATION AND ACTION DETECTION METHOD AND APPARATUS

    公开(公告)号:US20240046701A1

    公开(公告)日:2024-02-08

    申请号:US18088676

    申请日:2022-12-26

    Applicant: MARKANY INC.

    CPC classification number: G06V40/20 G06V20/52 H04N7/183 G06V10/82 G08B13/19613

    Abstract: The present disclosure relates to a method of identifying a posture and detecting a specific behavior based on artificial intelligence. A method of detecting an abnormal behavior in a video based on a computational device according to an embodiment of the present disclosure may involve obtaining at least one video frame; obtaining at least one piece of human posture information from a first artificial intelligence based on the obtained video frame; obtaining information on whether an abnormal behavior has been detected and at least one piece of abnormal behavior information from a second artificial intelligence based on at least one piece of human posture information obtained in chronological order; and marking the at least one video frame based on the information on whether an abnormal behavior has been detected and the at least one piece of abnormal behavior information.

    IMAGE CLASSIFICATION METHOD AND APPARATUS THEREOF BASED ON VISION-LANGUAGE MODEL USING DECISION GRAPH

    公开(公告)号:US20250078461A1

    公开(公告)日:2025-03-06

    申请号:US18490737

    申请日:2023-10-19

    Applicant: MARKANY INC.

    Abstract: The present disclosure relates to the use of artificial intelligence and, more particularly, to an efficient use of a vision-language model. A vision-language model-based image classification method according to one embodiment of the present disclosure comprises entering a data list including at least one image, entering a prompt specifying classification of an image, extracting a word classified into at least one class from the prompt, reading a graph defining a classification order of at least one class, selecting a node of the graph, reading class information corresponding to the node, classifying an image based on the prompt and class information, and returning a classification result if the node is a leaf node.

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