Acknowledgement
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).
Annual Conference of KIPS (한국정보처리학회:학술대회논문집)
- 2021.11a
- /
- Pages.474-475
- /
- 2021
- /
- 2005-0011(pISSN)
- /
- 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)
- Published : 2021.11.04
Abstract
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.
Keywords