IS = { zkontrolovano 30 Jun 2008 },
  UPDATE  = { 2008-05-02 },
  author =       {Vl{\v c}ek, Pavol},
  title =        {Human Head Tracking for Video Indexing},
  institution =  {Center for Machine Perception, K13133 FEE Czech Technical
  address =      {Prague, Czech Republic},
  year =         {2007},
  month =        {July},
  type =         {Research Report},
  number =       {CTU--CMP--2007--15},
  issn =         {1213-2365},
  pages =        {48},
  figures =      {5},
  authorship =   {100},
  psurl =        {[Vlcek-TR-2007-15.pdf]},
  project =      {1ET101210407, CTU0706413},
  annote = {The objective of this research is to design and
    experimentally evaluate algorithms for human head tracking using a
    single camera. We summarize the existing approaches on 2D, rigid
    3D and nonrigid 3D head tracking and their applications in
    automatic video indexing. We compare several different search
    strategies and criterial functions for tracking with a textured
    ellipsoidal head model and Ransac-based approach with a
    point-based model and bundle adjustment. We also describe and
    evaluate 2 new approaches for combination of contour and point
    features. We outline the plans for future work. We plan to extend
    and evaluate the robustness of the methods, explore the other
    possibilities of combining different features and deal with the
    problem of resource allocation for different algorithms used in
    video indexing.},
  keywords =     {computer vision, head tracking, adaptive tracking, 
                  head detection, video indexing},