Title :
Camera calibration from video of a walking human
Author :
Fengjun Lv ; Tao Zhao ; Nevatia, R.
Author_Institution :
Inst. for Robotics & Intelligent Syst., Univ. of Southern California, Los Angeles, CA
Abstract :
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
Keywords :
calibration; image motion analysis; image sensors; video signal processing; camera calibration; leg-crossing phases; self-calibration method; vertical line segments; video; walking human; Calibration; Cameras; Head; Humans; Image reconstruction; Layout; Legged locomotion; Parameter estimation; Robustness; Tracking; Camera calibration; human tracking.; self-calibration; vanishing line; vanishing point; Algorithms; Calibration; Equipment Failure Analysis; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Photogrammetry; Reproducibility of Results; Sensitivity and Specificity; Video Recording; Walking;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.2006.178
