Paper review: Goudail97Optimal

Optimal target tracking on image sequences with a deterministic background
[Abstract] Until now, most optical pattern recognition filters have been designed to process one image at a time. However, in image sequences, successive frames are highly correlated, so that it is useful to take this correlation into account while designing the filter. We develop a target tracking processor following this method. The images are assumed to consist of a moving object appearing against a moving background. A model that takes into account two successive frames is designed. From this model we determine the maximum-likelihood processor for tracking the object from one frame to the next. Since this processor is based on correlation operations, it could be implemented on a hybrid optoelectronic system that makes use of the rapidity of optical correlation.
@article{Goudail97Optimal,
Journal = {Optical Society of America },
Year = {1997},
Title = {Optimal target tracking on image sequences with a deterministic background},
Number = {12},
Pages = {3197-3207},
Author = {F. Goudail and P. Refregier },
Volume = {14}}