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基于机器视觉的3D人体动作识别研究 被引量:4

Research on Machine Visual's 3D Human Body Action Recognition
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摘要 基于人体模型对目标进行跟踪,根据可见光传感器获取的二维图像信息与红外传感器获取的深度信息,利用旋转矩阵处理相关联接点动作实现人体动作识别。 This paper tracks the target based on the model of human body,combines the depth information gained by infrared sensor with 2D image information captured by the ordinary sensor,then achieves motion recognition by utilizing rotate matrix to process the data of connected point.
出处 《计算机与现代化》 2011年第11期86-89,共4页 Computer and Modernization
关键词 人体模型 3D人体动作识别 旋转矩阵 光编码技术 human body model 3D human action recognition rotation matrix light coding technology
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  • 1刘相滨,向坚持,王胜春.人行为识别与理解研究探讨[J].计算机与现代化,2004(12):1-5. 被引量:12
  • 2黄士科,陶琳,张天序.一种改进的基于光流的运动目标检测方法[J].华中科技大学学报(自然科学版),2005,33(5):39-41. 被引量:17
  • 3魏志强,纪筱鹏,冯业伟.基于自适应背景图像更新的运动目标检测方法[J].电子学报,2005,33(12):2261-2264. 被引量:53
  • 4杜友田,陈峰,徐文立,李永彬.基于视觉的人的运动识别综述[J].电子学报,2007,35(1):84-90. 被引量:79
  • 5Zhang D, Gatica-Perez D, Bengio S, et al. Modeling individual group actions in meetings: a two-layer HMM framework[A]. In: Proceedings of IEEE CVPR Workshop on Detection and Recognition of Events in Video[ C ] , Washington, DC, USA,2004 : 117-125.
  • 6Olivier N, Horovitz E, Garg A. Layered representations for human activity recognition [ A ] . In: Proceedings of IEEE International Conference on Muhimodal Interfaces [ C ] , Pittsburgh, PA, USA, 2002 : 3-8.
  • 7Luo Y, Wu T D, Hwang J N. Object-based analysis and interpretation of human motion in sports video sequences by dynamic Bayesian networks [ J ] . Computer Vision and Image Understanding, 2003, 92(2-3) : 196-216.
  • 8Du Y T, Chen F, Xu W L, et al. Recognizing interaction activities using dynamic Bayesian network [ A ] . In: Proceedings of International Conference on Pattern Recognition [ C ], New York, USA. 2006: 618-621.
  • 9Buxton H, Gong S G. Advanced visual surveillance using Bayesian networks [ A ]. In: Proceedings of International Conference on Computer Vision [ C ] , Boston, MA, USA, 1995 : 111 - 123.
  • 10Oliver N, Horvitz E. A comparison of HMMs and dynamic Bayesian networks for recognizing office activities [ A ]. In: Proceedings of lOth International Conference on User Modeling [ C ] , Edinburgh, UK, 2005 : |99-209.

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