Action recognition technology has many application fields including gaming, human-computer interaction, security, virtual reality, etc. The technology has recently advanced and simplified by the introduction of real time depth cameras. The most famous depth camera, Kinect, has shown its success in human action recognitions by supervised learning methods. However, those method require a large number of motion capture data as the ground truth of each skeleton points. This paper proposes a human skeleton extraction method without using reference data. The method extracts the minimum number of articulation points instead of full skeleton data. The articulation points are used as an real-time interface for 3D interaction games.
목차
ABSTRACT 1. Introduction 2. Related Works 3. The Proposed Method to Extract Major Articulation Points 4. Implementation results and Application 4.1 Articulation points extraction results and performance 4.2 Interaction of the extracted articulation points with game 5. Conclusion and Application Plan Acknowledgements References
키워드
action recognitiondepth maparticulation pointsskeletongesture point
저자
Ho-Wook Jang [ Department of Digital Informatics and Convergence ]
In-Kwon Kim [ Department of Digital Informatics and Convergence ]
Kwan-Hee Yoo [ Department of Digital Informatics and Convergence, 2epartment of Computer Science, Chungbuk National University ]
Corresponding author
1. 게임산업을 활성화 하고,
2. 게임기술과 기술 인력을 양산할 수 있도록 교육기관의 교과과정을 개발하고,
3. 관련기술에 대한 연구발표회, 강연회, 강습회 등을 개최하며,
4. 학회지, 논문지 및 관련 문헌을 발간하고,
5. 게임 기술 개발을 위한 국제화, 표준화 등을 지원하고,
6. 산.학.연.관이 협동할 수 있는 국제적 학술교류 및 협력을 지원하고,
7. 회원 상호간의 공동 이익과 친목을 증진시킨다.
간행물
간행물명
컴퓨터게임및콘텐츠논문지(구 한국컴퓨터게임학회논문지) [Journal of Computer Games and Contents]
간기
월간
pISSN
3091-7409
eISSN
3092-3638
수록기간
2002~2026
등재여부
KCI 등재
십진분류
KDC 691DDC 793
이 권호 내 다른 논문 / 컴퓨터게임및콘텐츠논문지(구 한국컴퓨터게임학회논문지) 제29권 제2호