The course will include selected advanced topics in motion perception using computer vision. Concrete topics will change each year according to trends in this fast developing field.
in computer science and industry. Potential topics will include:
1.    Overview of the field motion estimation and applications.
2.    Optical flow estimation using least-squares.
3.    Variational optical flow estimation.
4.    Parametric template tracking using Lucas-Kanade.
5.    Histogram-based tracking using Mean Shift
6.    Tracking as stochastic optimization using cross entropy.
7.    Recursive Bayes filter for online state estimation. 
8.    Tracking by Kalman filter.
9.    Tracking by particle filters.
10.    Tracking deformable objects by constelation models.
11.    Methodologies of tracker comparison.
12.    Tracking by classification.
13.    Long-term tracking by detection.