Aiming for objects' unsteadied inter-salience properties in person re-identification, a new algorithm of person re-identification is proposed in the base of multi-salience fusion. Two-stage Manifold Ranking (MR) is established to obtain image intra-salience. A more accurate multi-salience fusion description method is presented after combining intra-salience with existing inter-salience. The approach considers not only inter-salience of the patch with other person images' patches, but also the intra-salience of the patch in the own image. It improves the description of the patch in salience. Compared with the similar algorithm, the method can describe the salience of objects more accurately, reaching high re-identification rate.