Skip to main content
Article thumbnail
Location of Repository

Prediction and Tracking of Moving Objects in Image Sequences

By A G Bors and I Pitas

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

Year: 2000
DOI identifier: 10.1109/83.855440
OAI identifier: oai:eprints.whiterose.ac.uk:942

Suggested articles


To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.