The matter of feature correspondence is essential for motion analysis.
As the most general case of motion, we consider the case of particle
tracking in fluid. Particles are treated as single points of their cen
troids. The problem of the point correspondence is stated as a total p
ath optimization task, solved by using the dynamic programming techniq
ue. This new global approach is more promising than the local techniqu
es that have been used so far. The pairing consistency is additionally
checked via a statistical test. The method is suitable for rigid moti
on tracking as well. Preliminary experiments both with fluid and solid
body deformable surfaces have proven the method's flexibility and gen
erality. The computational expenses of the algorithm are estimated, an
d the performance results for 300-400 particle tracking tasks are clea
rly promising.