Voxel Data Based Marker-less Human Motion Capture Using Geometry Model
In this paper, we propose a novel approach for human posture estimation using geometry model. A volumetric reconstruction of a participant is obtained from multi-camera images. After definition of body model, the geometry model fitted into the 3D human reconstructed volume. The gray theory, which is applicable to the prediction problem of a time-varying nonlinear system, is utilized to perform the forecasting job during tracking. Moreover, a hierarchical estimation is applied to avoid local optimum. Finally the posture is gained from the geometric parameter. Experimental results show the efficiency of the proposed algorithm and precision of posture estimation.
Wuqin Lei Jiangbin Zheng
Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Sci Shaanxi Provincial Key Laboratory of Speech and Image Information Processing,School of Computer Scie
国际会议
2011亚太信号与信息处理协会年度峰会(APSIPAASC 2011)
西安
英文
1-4
2011-10-18（万方平台首次上网日期，不代表论文的发表时间）