Invention Grant
- Patent Title: Apparatus and method for generating synthetic training data for motion recognition
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Application No.: US16204414Application Date: 2018-11-29
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Publication No.: US10685454B2Publication Date: 2020-06-16
- Inventor: Young Hee Kim , Jin Seo Kim , Soon Chan Park , Jae Hui Park , Ji Young Park , Kwang Hyun Shim , Moon Wook Ryu , Hyuk Jeong
- Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
- Applicant Address: KR Daejeon
- Assignee: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
- Current Assignee: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
- Current Assignee Address: KR Daejeon
- Agency: LRK Patent Law Firm
- Priority: com.zzzhc.datahub.patent.etl.us.BibliographicData$PriorityClaim@1c8eb5d8
- Main IPC: G06T7/579
- IPC: G06T7/579 ; G06T11/00 ; G06T15/50 ; G06T15/08

Abstract:
An apparatus and method for generating synthetic training data for motion recognition. The method includes generating a three-dimensional (3D) human body model in real time according to motion of a human body, converting volume data of the 3D human body model into a 3D linear structure and extracting skeletal joint information, generating a data set of a human body image and skeletal joint information by rendering the 3D human body model and the skeletal joint information, and providing the data set of the image and the skeletal joint information as synthetic training data for motion recognition.
Public/Granted literature
- US20190295278A1 APPARATUS AND METHOD FOR GENERATING SYNTHETIC TRAINING DATA FOR MOTION RECOGNITION Public/Granted day:2019-09-26
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