occlusion is a very common problem in multi-objects tracking for real world scenes. in this paper, a method for occlusion handling based on fuzzy similarity measure is propesed. fuzzy approach has been succesfully used in many fields where there exists uncertainty and imprecision. in the occlusion problem, similarity measure is incorporated to resolve trsck of sn objects is done by representing color, texture, and shape of objects after occlusion happens. here, the fuzzy similarity measure is done by representing color, texture, and shape of objects as fuzzy features and using fuzzy feature contrast model (FFCM) with its derivatites to perform similarity measure. exprimental results sjpw that the proposed method can handle occlusion effectively with moderately fast computational time.