• DocumentCode
    831845
  • Title

    Robust Control-Based Object Tracking

  • Author

    Qu, Wei ; Schonfeld, Dan

  • Author_Institution
    Siemens Med. Solutions USA, Inc., IL
  • Volume
    17
  • Issue
    9
  • fYear
    2008
  • Firstpage
    1721
  • Lastpage
    1726
  • Abstract
    This correspondence presents a video tracking framework using control-based observer design. It unifies several kernel-based approaches into a consistent theoretical framework by modeling tracking as a recursive inverse problem. The framework relies on observability theory to handle the ldquosingularityrdquo problem and provides explicit criteria for kernel design and dynamics evaluation.
  • Keywords
    inverse problems; robust control; target tracking; video signal processing; kernel design; object tracking; recursive inverse problem; robust control; video tracking; Application software; Computational complexity; Equations; Filtering; Inverse problems; Kernel; Observability; Optical filters; Particle tracking; Robust control; Object tracking; video analysis; video tracking; Algorithms; Artificial Intelligence; Feedback; Image Enhancement; Image Interpretation, Computer-Assisted; Motion; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Video Recording;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2008.2001391
  • Filename
    4598845