Universiti Teknologi Malaysia Institutional Repository

Accurate Real-TIme Object Tracking with Linear Prediction Method

P. Y., Yeoh and Syed Abu Bakar, Syed Abdul Rahman (2003) Accurate Real-TIme Object Tracking with Linear Prediction Method. International Conference on Image Processing, 3 . III-941-4. ISSN 1522-4880

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Official URL: http:/dx.doi.org/10.1109/ICIP.2003.1247401


This paper presents an efficient technique for real-time tracking of a single moving object in terrestrial scenes using a stationary camera. The tracking algorithm is based on the linear prediction (LP) solved by the maximum entropy method (MEM). It attempts to predict the centroid of the moving object in the next frame, based on several past centroid measurements. Using a second order of the linear prediction method, the proposed algorithm is able to accurately track the moving object. It is shown analytically that the proposed recursive predictor-corrector tracking algorithm is able to yield high accuracy performance and is superior to that of the Kalman filter, for a possibly random movement of single moving object.

Item Type:Article
Additional Information:Print ISBN: 0-7803-7750-8
Uncontrolled Keywords:accurate real-time object tracking, linear prediction method, prediction methods
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:1892
Deposited By: Dr Zaharuddin Mohamed
Deposited On:16 Mar 2007 03:06
Last Modified:18 Dec 2013 03:14

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