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Title:
MOTION TRACKING SYSTEM USING DEEP LEARNING TECHNOLOGY
Document Type and Number:
WIPO Patent Application WO/2023/277586
Kind Code:
A1
Abstract:
The present invention relates to a motion tracking system using deep learning technology. For example, a motion tracking system using deep learning technology is disclosed, the system comprising: an image motion data generation unit for receiving an input of image data acquired through image capturing by multiple cameras, extracting a key point from the input image data, identifying location information of the key point on the basis of a deep learning algorithm, estimating the posture of an object by grouping key points, the locations of which have been identified, into one object through a connection between the key points, and generating first motion data by tracking a motion of the object, the posture of which has been estimated, in real time; a wearable motion data generation unit for tracking, by using a wearable motion sensor worn on a body part of a user, a motion of the body part in real time, and generating second motion data; and a three-dimensional image data generation unit for detecting an error image frame having a shaking value equal to or greater than a predetermined first reference peak value from each image frame of the first motion data, correcting an error in shaking of the error image frame on the basis of the deep learning algorithm, and mapping the second motion data to the corrected first motion data to generate three-dimensional image data.

Inventors:
OK JAE YUN (KR)
Application Number:
PCT/KR2022/009349
Publication Date:
January 05, 2023
Filing Date:
June 29, 2022
Export Citation:
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Assignee:
OK JAE YUN (KR)
International Classes:
G06T7/292; G06N3/08; G06T5/00; G06T7/246; G06T7/70; G06T13/20; G06T19/00; G06V40/20; G08B21/00
Foreign References:
KR20200087027A2020-07-20
KR102234646B12021-04-01
KR102118937B12020-06-04
KR20210035243A2021-03-31
KR20180114756A2018-10-19
KR102124748B12020-06-19
Attorney, Agent or Firm:
MAJOR PATENT AND LAW FIRM (KR)
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