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Conference Paper
3차원 합성곱 신경망을 통한 축구 객체 모션 인식 기법
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- Issue Date
- 2018-06
- Citation
- 대한전자공학회 학술 대회 (하계) 2018, pp.528-531
- Publisher
- 대한전자공학회
- Language
- Korean
- Type
- Conference Paper
- Abstract
- Recently, sports and ICT technology have been combined, enabling quantitative and objective analysis of sports and players. As a result, in the case of soccer game, quantitative analysis of competition and athletes is underway in various companies, but due to technical limitations, many data are still being generated based on the manual work of experts. In this paper, we propose an object motion recognition technique based on 3D CNN which is a basis for further automation of soccer analysis. As can be seen from the experimental results, it can be confirmed that the proposed technique not only has high speed performance but also satisfactory accuracy as compared with the existing technologies.
- KSP Keywords
- 3D CNN, High Speed, Manual work, Motion Recognition, Object motion, Objective analysis, Quantitative analysis, Soccer Analysis, recognition technique, speed performance