• DocumentCode
    599798
  • Title

    Automatic motion tracking and chaos analysis of a real time moving object

  • Author

    Mitul, Abu Farzan ; Rakeeb, Muhammad ; Islam, Md Minarul ; Shahjahan, Md

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Khulna Univ. of Eng. & Technol., Khulna, Bangladesh
  • fYear
    2012
  • fDate
    20-22 Dec. 2012
  • Firstpage
    872
  • Lastpage
    875
  • Abstract
    This paper focuses on the automatic tracking of a moving object. The motion of living beings such as human beings, cats, dogs, fishes or any other substances like star, earth, and airplane can be tracked by this system. A tracking algorithm is developed in order to analyse the motion of object is chaotic or not. Automatic tracking of object is done by several stages. These are image capturing, image processing, time series extraction and analysis. Here artificial intelligent software is developed to visualize the tracking of the moving object. The simulation and practical results are shown in this paper. The accuracy and reliability of this system is appreciable.
  • Keywords
    feature extraction; image motion analysis; object tracking; airplane; artificial intelligent software; automatic motion tracking; cats; chaos analysis; dogs; earth; fishes; human beings; image capturing; image processing; living being motion; real time moving object; star; system reliability; time series extraction; tracking visualization; Chaos; Computers; Image color analysis; Marine animals; Software; Time series analysis; Tracking; Euclidean filtering; Hurst exponent; Lyapunov exponent; binarized image; chaos analysis; gray scaling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical & Computer Engineering (ICECE), 2012 7th International Conference on
  • Conference_Location
    Dhaka
  • Print_ISBN
    978-1-4673-1434-3
  • Type

    conf

  • DOI
    10.1109/ICECE.2012.6471689
  • Filename
    6471689