• DocumentCode
    3134488
  • Title

    Robust kernel design for SSD tracker

  • Author

    Sun, Yan ; Chen, Xi ; Lu, Qiyong

  • Author_Institution
    E.E. Dept., Fudan Univ., Shanghai, China
  • fYear
    2009
  • fDate
    20-21 Sept. 2009
  • Firstpage
    162
  • Lastpage
    165
  • Abstract
    SSD-based object tracking has shown its improved performance compared with mean-shift and many people have made further improvements based on it. However, how kernels should be designed to better cooperate with SSD metric and Newton-style iteration remains unsolved. Our work is to find out the underlying principles for SSD kernel design, which can help make the tracker more sensitive to the object movement and make the iteration have better onestep performance. We also create a new kernel called ¿QPeak¿ to demonstrate our theorems.
  • Keywords
    Newton method; object detection; Newton-style iteration remains; SSD kernel design; SSD tracker; SSD-based object tracking; mean-shift; robust kernel design; Computational complexity; Histograms; Kernel; Optical filters; Particle tracking; Robustness; Shape; Stability; Sun; Target tracking; SSD; Tracking; design rules; kernel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information, Computing and Telecommunication, 2009. YC-ICT '09. IEEE Youth Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-5074-9
  • Electronic_ISBN
    978-1-4244-5076-3
  • Type

    conf

  • DOI
    10.1109/YCICT.2009.5382403
  • Filename
    5382403