• DocumentCode
    2995756
  • Title

    Object tracking using Kalman filter with adaptive sampled histogram

  • Author

    Najafzadeh, Nima ; Fotouhi, Mehran ; Kasaei, Shohreh

  • Author_Institution
    Department of Computer Engineering, Sharif University of Technology, Tehran, Iran
  • fYear
    2015
  • fDate
    10-14 May 2015
  • Firstpage
    781
  • Lastpage
    786
  • Abstract
    An object tracking method based on Kalman filter is proposed in which a novel solution for observation stage is introduced. The new solution gave different weights to different parts of an object and also updates and adapts the reference model for tracking a specific object. The experiments show that the proposed method outperforms the baseline method that uses the histogram as an observation model.
  • Keywords
    IEEE Xplore; Portable document format; Kalman filter; Tracking; adaptive histogram; observation model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering (ICEE), 2015 23rd Iranian Conference on
  • Conference_Location
    Tehran, Iran
  • Print_ISBN
    978-1-4799-1971-0
  • Type

    conf

  • DOI
    10.1109/IranianCEE.2015.7146319
  • Filename
    7146319
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2995756