In this paper the principle and the conventional algorithms of Digital Particle Image Velocimetry （DPIV） are summarized firstly

then the advantages and disadvantages of these algorithms are analyzed in detail.In order to overcome these defaults a new idea named model based consecutive motion vector estimation algorithm is proposed.The new algorithm fully employs the global information of sequential gray images and the physics property of flow field to get the precise velocity vector at each pixel.