I'm trying to write a new computer vision textbook. I'm going to post updated versions here as I do so. The plan is to first teach probability and machine learning and then present each chapter as a different model with associated learning and inference algorithms.
Saturday, November 20, 2010
There's been a lot of progress on the tracking and temporal models chapter. There's now a reasonable description of the Kalman filter, the extended Kalman filter and the unscented Kalman filter. I'm working on the section on particle filters tomorrow.