A Multi-Camera Network System for Markerless 3D Human Body Vozel Reconstruction
This paper presents a fully automated system for realtime 3D human visual hull reconstruction and skeleton voxels extraction. The main contributions include: (1) A novel network based system is presented, which uses AXIS network cameras as video capture device, and performs a parallel processing among data capture, 3D voxel reconstruction and display. (2) A new human visual hull reconstruction algorithm is given. This approach firstly segments the foreground accurately by an efficient Gaussian Mixture Model (GMM) and a shadow model in HSV color space, then extends the standard Shape-FromSilhouette (SFS) algorithm with online Region-ofInterest (ROI) estimation and binary searching, and finally construct skeleton probability visual hull with distance transform. Experiments with real video sequences show that the system can process eleven 640x480 video sequences at a frame rate of 15fps, and construct human body voxels reliably in complex scenarios with cast shadows, various body configurations and multiple persons.
Tao Yang Yanning Zhang Meng Li Dapei Shao Xingong Zhang
Shaanxi Key Laboratory of Speech & Image Information Processing School of Computer Science, Northwestern Polytechnical University
国际会议
The Fifth International Conference on Image and Graphics(第五届国际图像图形学学术会议 ICIG 2009)
西安
英文
706-711
2009-09-20（万方平台首次上网日期，不代表论文的发表时间）