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
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;
Conference_Titel :
Electrical & Computer Engineering (ICECE), 2012 7th International Conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-4673-1434-3
DOI :
10.1109/ICECE.2012.6471689