과제정보
This work was supported by Institute for Information communications Technology Promotion (IITP) grant funded by the Korea government (MSIP) (2016-0-00406, SIAT CCTV Cloud Platform).
한국정보처리학회:학술대회논문집 (Annual Conference of KIPS)
- 한국정보처리학회 2021년도 추계학술발표대회
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- Pages.474-475
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- 2021
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- 2005-0011(pISSN)
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- 2671-7298(eISSN)
DOI QR Code
Denoising 3D Skeleton Frames using Intersection Over Union
- Chuluunsaikhan, Tserenpurev (Dept. of Computer Science, Chungbuk National University) ;
- Kim, Jeong-Hun (Dept. of Computer Science, Chungbuk National University) ;
- Choi, Jong-Hyeok (Bigdata Research Institute, Chungbuk National University) ;
- Nasridinov, Aziz (Dept. of Computer Science, Chungbuk National University)
- 발행 : 2021.11.04
초록
The accuracy of real-time video analysis system based on 3D skeleton data highly depends on the quality of data. This study proposes a methodology to distinguish noise in 3D skeleton frames using Intersection Over Union (IOU) method. IOU is metric that tells how similar two rectangles (i.e., boxes). Simply, the method decides a frame as noise or not by comparing the frame with a set of valid frames. Our proposed method distinguished noise in 3D skeleton frames with the accuracy of 99%. According to the result, our proposed method can be used to track noise in 3D skeleton frames.
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