Camera calibration from video of a walking human

A self-calibration method to estimate a camera's intrinsic and extrinsic parameters from vertical line segments of the same height is presented. An algorithm to obtain the needed line segments by detecting the head and feet positions of a walking human in his leg-crossing phases is described. Experimental results show that the method is accurate and robust with respect to various viewing angles and subjects

[1]  Antonio Criminisi,et al.  Creating Architectural Models from Images , 1999, Comput. Graph. Forum.

[2]  Robert C. Bolles,et al.  Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.

[3]  Ramakant Nevatia,et al.  Segmentation and tracking of multiple humans in complex situations , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[4]  S. P. Mudur,et al.  Three-dimensional computer vision: a geometric viewpoint , 1993 .

[5]  M. Isard,et al.  Automatic Camera Calibration from a Single Manhattan Image , 2002, ECCV.

[6]  Zhengyou Zhang,et al.  Camera calibration with one-dimensional objects , 2002, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[7]  Zhengyou Zhang,et al.  A Flexible New Technique for Camera Calibration , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  Michael Isard,et al.  BraMBLe: a Bayesian multiple-blob tracker , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[9]  Roberto Cipolla,et al.  Camera Calibration from Vanishing Points in Image of Architectural Scenes , 1999, BMVC.

[10]  W. Grimson,et al.  Ground Plane Rectification by Tracking Moving Objects , 2003 .

[11]  Kenichi Kanatani,et al.  Stabilizing the Focal Length Computation for 3-D Reconstruction from Two Uncalibrated Views , 2006, International Journal of Computer Vision.

[12]  Ian D. Reid,et al.  Single View Metrology , 2000, International Journal of Computer Vision.

[13]  Chris Stauffer,et al.  Robust automated planar normalization of tracking data , 2003 .

[14]  Alex Pentland,et al.  Pfinder: Real-Time Tracking of the Human Body , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[15]  Ramakant Nevatia,et al.  Tracking multiple humans in crowded environment , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

[16]  B. Caprile,et al.  Using vanishing points for camera calibration , 1990, International Journal of Computer Vision.