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 1057-7149Full text available as:
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.
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|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:||17 Oct 2013 14:37|