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公开(公告)号：US20210286982A1
公开(公告)日：2021-09-16
申请号：US17336972
申请日：2021-06-02
Inventor： Yasunori ISHII , Hironobu FUJIYOSHI , Takayoshi YAMASHITA , Tsubasa HIRAKAWA
Abstract: An information processing method includes processing of: acquiring, from a plurality of time-series images in which an object is captured, first information including at least a plurality of positions or a plurality of sizes of the object; executing prediction processing of predicting second information including at least one of a position or a size of the object at a next time point in a time-series based on the first information and recursively executing the prediction processing based on the first information and the second information to predict the second information of the object at a time point further next to the next time point; executing recognition processing of recognizing motion of the object based on the second information; and determining a total number of times of recursion of the prediction processing based on a result of the recognition processing.
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公开(公告)号：US20240087098A1
公开(公告)日：2024-03-14
申请号：US18512767
申请日：2023-11-17
Inventor： Hironobu FUJIYOSHI , Takayoshi YAMASHITA , Tsubasa HIRAKAWA , Kazuki KOZUKA
CPC classification number: G06T5/003 , G06T5/50 , G06T2207/20081 , G06T2207/20212
Abstract: A training method includes: generating a first image by adding noise to a first area; generating a second image by adding noise to a second area; generating a combined image by weighted addition of the first image and the second image; generating a first training label for the first image; generating a second training label for the second image; generating a combined training label by weighted addition of the first training label and the second training label; and generating a learning model by machine learning using the combined image and the combined training label.
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