A couple of years ago I took an Estimation and Filtering class. We covered many different topics, but one of the main ones was Kalman Filtering. This is a very popular type of filtering and estimating that attempts to use past measurement(s) (noisy) and estimate the true current value(s) (with error minimized). Some assumptions are made with the type of noise that we are dealing with. Try this page or this page for some better descriptions of Kalman Filtering and the algorithm.
In this class we had to find an application and discuss it. Here is my presentation on the paper titled: A KALMAN FILTER BASED RESTORATION METHOD FOR IN-VEHICLE CAMERA IMAGES IN FOGGY CONDITIONS
Paper Link
Presentation Link
Monday, November 23, 2009
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