Prediction and Tracking of Moving Objects in Image Sequences

A G Bors, I Pitas

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Pages (from-to)1441-1445
Number of pages5
JournalIEEE Transactions on Image Processing
Issue number8
Publication statusPublished - Aug 2000

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  • Bayes procedures
  • image sequence analysis
  • tracking

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