IS = { zkontrolovano 25 Feb 2010 },
  UPDATE  = { 2010-02-18 },
  author =	 {Torii, Akihiko and Havlena, Michal and 
                  Pajdla, Tom{\'a}{\v s}},
  title =	 {Camera Tracking and Autocalibration for Detecting and
                  Correcting Camera De-Calibration},
  institution =	 {Center for Machine Perception, K13133 FEE Czech Technical
  address =	 {Prague, Czech Republic},
  year =	 {2009},
  month =	 {December},
  type =	 {Research Report},
  number =	 {CTU--CMP--2009--20},
  issn =	 {1213-2365},
  pages =	 {10},
  figures =	 {6},
  authorship =	 {34-33-33},
  psurl =	 {[Torii-TR-2009-20.pdf]},
  project =	 {FP6-IST-027787},
  annote =	 {In this report, we present several contributions
    to the dynamic 3D scene analysis supported by image and video
    processing from omnidirectional video data acquired by the
    AWEAR 2.0 platform. First, we summarize the upgrades of our
    structure from motion (SfM) pipelines for the autocalibration
    of the AWEAR 2.0 camera platform. Next, we examine several
    examples of detecting abnormal situations using statistics
    resulted from camera tracking: (i) feature detection, (ii)
    sequential matching, and (iii) stereo matching on the top of SfM.
    Finally, we demonstrate the detection and classification of
    abnormal situations, and correction of the contaminated camera
    calibrations according to the abnormal events on real video
  keywords = {Structure from Motion, Omnidirectional Vision},