Tracking Over Many Frames
Feature
tracking with m frames
1.Select features in
first frame
2.Given feature in frame
i, compute position in i+1
3.Select more features
if needed
4.i = i + 1
5.If i < m, go to
step 2
Issues
•Discrete
search vs. Lucas Kanade?
–depends
on expected magnitude of motion
–discrete
search is more flexible
•Compare
feature in frame i to i+1 or frame 1 to i+1?
–affects
tendency to drift..
•How
big should search window be?
–too
small: lost features. Too large:
slow