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Efficient feature extraction and likelihood fusion for vehicle tracking in low frame rate airborne video
2010
2010 13th International Conference on Information Fusion
Very large format video or wide-area motion imagery (WAMI) acquired by an airborne camera sensor array is characterized by persistent observation over a large field-of-view with high spatial resolution but low frame rates (i.e. one to ten frames per second). Current WAMI sensors have sufficient coverage and resolution to track vehicles for many hours using just a single airborne platform. We have developed an interactive low frame rate tracking system based on a derived rich set of features for
doi:10.1109/icif.2010.5711891
fatcat:rvcifqlkyfcv5ap6hyv2eicyim