Good features to track
Recall Lucas-Kanade equation:
When is this solvable?
ATA should be invertible
ATA should not be too small due to noise
eigenvalues l1 and l2 of ATA should not be too small
ATA should be well-conditioned
  l1/ l2 should not be too large (l1 = larger eigenvalue)
These conditions are satisfied when min(l1, l2) > c