DOI QR코드

DOI QR Code

HMM-based Upper-body Gesture Recognition for Virtual Playing Ground Interface

가상 놀이 공간 인터페이스를 위한 HMM 기반 상반신 제스처 인식

  • 박재완 (전남대학교 전자컴퓨터공학과) ;
  • 오치민 (전남대학교 전자컴퓨터공학과) ;
  • 이칠우 (전남대학교 전자컴퓨터공학과)
  • Received : 2010.07.02
  • Accepted : 2010.07.26
  • Published : 2010.08.28

Abstract

In this paper, we propose HMM-based upper-body gesture. First, to recognize gesture of space, division about pose that is composing gesture once should be put priority. In order to divide poses which using interface, we used two IR cameras established on front side and side. So we can divide and acquire in front side pose and side pose about one pose in each IR camera. We divided the acquired IR pose image using SVM's non-linear RBF kernel function. If we use RBF kernel, we can divide misclassification between non-linear classification poses. Like this, sequences of divided poses is recognized by gesture using HMM's state transition matrix. The recognized gesture can apply to existent application to do mapping to OS Value.

Keywords

Upper-body Pose;Upper-body Gesture Recognition;HMM(Hidden Markov Model);SVM(Support Vector Machine);EOH(Edge Orientation Histogram)

Acknowledgement

Supported by : 한국콘텐츠진흥원

References

  1. 오치민, 정문호, 유범재, 이칠우, "개선된 챔퍼매칭 우도 기반 2차원 평면 객체 추적", 정보처리학회논문지 B, 제17-B권, 제1호, pp.37-46, 2010.
  2. M. Dimitrijevic, V. Lepetit, and P. Fua, "Human Body Pose Detection Using Bayesian Spatio-Temporal Templates," Computer Vision and Image Understanding, Vol.104, No.2/3, pp.127-139, 2006. https://doi.org/10.1016/j.cviu.2006.07.007
  3. M. Van den Bergh, E. Koller-Meier, and L. Van Gool, "Real-Time Body Pose Recognition Using 2D or 3D Haarlets," International journal of computer vision, Vol.83, No.1, pp.72-84, 2009. https://doi.org/10.1007/s11263-009-0218-0
  4. F. Wang and C. Zhang, "Feature extraction by maximizing the average neighborhood margin," In IEEE computer society conference on computer vision and pattern recognition, Vol.1-8, pp.1173-1180, 2007. https://doi.org/10.1109/CVPR.2007.383124
  5. P. Viola and M. Jones, "Rapid object detection using a boosted cascade of simple features," In IEEE computer society conference on computer vision and pattern recognition, Vol.1, pp.511-518, 2001. https://doi.org/10.1109/CVPR.2001.990517
  6. M. Van den Bergh, E. Koller-Meier, and L. Van Gool, "Fast body posture estimation using volumetric features," In IEEE visual motion computing, Jan, 2008, https://doi.org/10.1109/WMVC.2008.4544056
  7. 박아연, 이성환, “이산 은닉 마르코프 모델에 기반 한 3차원 전신 제스처 인식”, 한국정보과학회 컴퓨터 비젼 및 패턴인식연구회 추계 워크샵 발표논문집, pp.154-156, 2004.
  8. H. Kang, C. W. Lee, K. Jung, “Recognitionbased gesture spotting in video games,” Pattern Recognition Letters, Vol.25, pp.1701-1714, 2004. https://doi.org/10.1016/j.patrec.2004.06.016