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Tracking objects using image disparities
1990
Image and Vision Computing
A method and results are presented for a system that finds and tracks known polyhedral objects in 3-space, given a sequence of grey-level images. The object is located in the first frame using model-based search. Image features are then tracked into the next frame using optic flow techniques, and their disparities are used to invert the perspective transform. The system can recognise when it is getting lost during the tracking stage. It recaptures its position through another model search that
doi:10.1016/0262-8856(90)90049-b
fatcat:gaiuaf2y4ffbjpgijbcy3xjdea