Eddy tracking is just finding all vectors with similar motion in its influence region and recording its moving route. Virtually a flow field is able to be replaced with a scalar dataset, if its feature information can be faithfully preserved by the scalar dataset. Therefore, eddy tracking problem can be solved by tracking moving objects in an image sequence after a certain transformation. Here we propose a new method to track several moving eddies simultaneously and three main technologies are introduced: green function method, motion probability distribution and quadratic program.