This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Camera Calibration from Video of a Walking Human
September 2006 (vol. 28 no. 9)
pp. 1513-1518
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] B. Bose and E. Grimson, “Ground Plane Rectification by Tracking Moving Objects,” Proc. IEEE Workshop Visual Surveillance and Performance Evaluation of Tracking and Surveillance, pp. 94-101, 2003.
[2] B. Caprile and V. Torre, “Using Vanishing Points for Camera Calibration,” Int'l J. Computer Vision, vol. 4, pp. 127-140, 1990.
[3] R. Cipolla, T. Drummond, and D.P. Robertson, “Camera Calibration from Vanishing Points in Images of Architectural Scenes,” Proc. British Machine Vision Conf., vol. 2, pp. 382-391, 1999.
[4] A. Criminisi, I. Reid, and A. Zisserman, “Single View Metrology,” Int'l J. Computer Vision, vol. 40, no. 2, pp. 123-148, 2000.
[5] J. Deutscher, M. Isard, and J. MacCormick, “Automatic Camera Calibration from a Single Manhattan Image,” Proc. European Conf. Computer Vision, pp. 175-188, 2002.
[6] O. Faugeras, Three Dimensional Computer Vision: A Geometric Viewpoint. MIT Press, 1993.
[7] M.A. Fischler and R.C. Bolles, “Random Sample Consensus: A Paradigm for Model Fitting with Application to Image Analysis and Automated Cartography,” Comm. ACM, vol. 24, no. 6, pp. 381-395, 1981.
[8] M. Isard and J. MacCormick, “BraMBLe: A Bayesian Multiple-Blob Tracker,” Proc. Int'l Conf. Computer Vision, vol. 2, pp. 34-41, 2001.
[9] D. Liebowitz, A. Criminisi, and A. Zisserman, “Creating Architectural Models from Images,” Proc. EuroGraphics, vol. 18, pp. 39-50, 1999.
[10] A. Nakatsuji, S. Takahashiy, Y. Sugayay, and K. Kanataniy, “Stabilizing the Focal Length Computation for 3-D Reconstruction from Two Uncalibrated Views,” Proc. Asian Conf. Computer Vision, vol. 1, pp. 1-6, 2004.
[11] C. Stau, K. Tieu, and L. Lee, “Robust Automated Planar Normalization of Tracking Data,” Proc. IEEE Workshop Visual Surveillance and Performance Evaluation of Tracking and Surveillance, pp. 1-8, 2003.
[12] C.R. Wren, A. Azarbayejani, T. Darrell, and A. Pentland, “Pfinder: Real-Time Tracking of the Human Body,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 19, no. 7, pp. 780-785, July 1997.
[13] Z. Zhang, “A Flexible New Technique for Camera Calibration,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 22, no. 11, pp. 1330-1334, Nov. 2000.
[14] Z. Zhang, “Camera Calibration with One-Dimensional Objects,” Proc. European Conf. Computer Vision, vol. 4, pp. 161-174, 2002.
[15] T. Zhao, R. Nevatia, and F. Lv, “Segmentation and Tracking of Multiple Humans in Complex Situations,” Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. 2, pp. 194-201, 2001.
[16] T. Zhao, R. Nevatia, “Tracking Multiple Humans in Crowded Environment,” Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. 2, pp. 406-413, 2004.

Index Terms:
Camera calibration, self-calibration, vanishing point, vanishing line, human tracking.
Citation:
Fengjun Lv, Tao Zhao, Ramakant Nevatia, "Camera Calibration from Video of a Walking Human," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 9, pp. 1513-1518, Sept. 2006, doi:10.1109/TPAMI.2006.178
Usage of this product signifies your acceptance of the Terms of Use.