The performance of the correlation based Particle Tracking Velocimetry (PTV) method was evaluated by using VSJ (Visualization Society of Japan) standard PIV images in the present paper. The path tracking of the tracer particles was achieved through the cross-correlation operation of the small interrogation window around the studied tracer particle at two-time step. The gravity center positions of the tracer particles were determined by the multiplication operation of the tracer particle image with a gauss distribution mask in order to improve the accuracy of the PTV result up to sub-pixel level. Such algorithm had also been applied successfully to do PIV image processing of a self-induced sloshing flow in a rectangular tank.