Prediction and Tracking of Moving Objects in Image Sequences

Bors, A G and Pitas, I (2000) Prediction and Tracking of Moving Objects in Image Sequences. IEEE Transactions on Image Processing. pp. 1441-1445. ISSN 1057-7149

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Abstract

We employ a prediction model for moving object velocity and location estimation derived from Bayesian theory. The optical flow of a certain moving object depends on the history of its previous values. A joint optical flow estimation and moving object segmentation algorithm is used for the initialization of the tracking algorithm. The segmentation of the moving objects is determined by appropriately classifying the unlabeled and the occluding regions. Segmentation and optical flow tracking is used for predicting future frames.

Item Type:	Article
Copyright, Publisher and Additional Information:	Copyright © 2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Keywords:	Bayes procedures, image sequence analysis, tracking, OPTICAL-FLOW, SEGMENTATION, NETWORK
Academic Units:	The University of York > Computer Science (York)
Depositing User:	Adrian G. Bors
Date Deposited:	20 Jan 2006
Last Modified:	19 Feb 2013 12:07
Published Version:	http://dx.doi.org/10.1109/83.855440
Status:	Published
Refereed:	Yes
Related URLs:	http://dx.doi.org/10.1109/83.855440
URI:	http://eprints.whiterose.ac.uk/id/eprint/942

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