Bors, A G orcid.org/0000-0001-7838-0021 and Pitas, I (2000) Prediction and Tracking of Moving Objects in Image Sequences. IEEE Transactions on Image Processing. pp. 1441-1445. ISSN 1057-7149
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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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 |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
Depositing User: | Adrian G. Bors |
Date Deposited: | 20 Jan 2006 |
Last Modified: | 25 Mar 2025 00:04 |
Published Version: | https://doi.org/10.1109/83.855440 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1109/83.855440 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:942 |