title: Camera calibration from video of a walking human.
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.
authors.affiliation: Institute for Robotics and Intelligent Systems, University of Southern California, Los Angeles, CA 90089, USA. flv@usc.edu
authors.forename: Fengjun
authors.initials: F
authors.lastname: Lv
authors.forename: Tao
authors.initials: T
authors.lastname: Zhao
authors.forename: Ramakant
authors.initials: R
authors.lastname: Nevatia
mesh_terms: D000465:Algorithms; D002138:Calibration; D019544:Equipment Failure Analysis / Q000379:methods / Q000592:standards; D006801:Humans; D007089:Image Enhancement / Q000295:instrumentation / Q000379:methods / Q000592:standards; D007090:Image Interpretation, Computer-Assisted / Q000295:instrumentation* / Q000379:methods* / Q000592:standards; D010780:Photogrammetry / Q000295:instrumentation* / Q000379:methods* / Q000592:standards; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014741:Video Recording / Q000295:instrumentation* / Q000379:methods* / Q000592:standards; D016138:Walking / Q000502:physiology*