• DocumentCode
    228878
  • Title

    Human tracking system

  • Author

    Wagh, Kavita Vilas ; Kulkarni, R.K.

  • Author_Institution
    Electron. & Telecommun. Dept., Vivekanand Inst. of Technol., Mumbai, India
  • fYear
    2014
  • fDate
    13-14 Feb. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Human tracking is a comprehensive framework for tracking coarse human model performed from sequences of synchronized monocular grayscale images in single or multiple camera system coordinates. It is nothing but segmenting an interested human from video scene and keep track if it continuously. It demonstrates the feasibility of an end to end person tracking system where initially it start background subtraction, then detection of the interested human and tracking of that human form one frame to another continuously. For detection of the interested human PCA algorithm is used. Finally Kalman filter is introduced into tracking the people. Our system have demonstrated that as compaired with other methods it reduces detection time comparitively and improves human detection and tracking accuracy.
  • Keywords
    Kalman filters; cameras; image motion analysis; object detection; object tracking; principal component analysis; video signal processing; Kalman filter; background subtraction; end to end person tracking system; human PCA algorithm; human detection; human tracking system; multiple camera system coordinates; single camera system coordinates; synchronized monocular grayscale images; tracking coarse human model; video scene; Algorithm design and analysis; Cameras; Kalman filters; Principal component analysis; Target tracking; Vectors; Detection; Eigenfaces; Segmentation; tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics and Communication Systems (ICECS), 2014 International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4799-2321-2
  • Type

    conf

  • DOI
    10.1109/ECS.2014.6892832
  • Filename
    6892832