Detection and localization of text in videos is an im- portant task towards enabling automatic content-based retrieval of digital video databases. However, since text is often displayed against a complex background, its de- tection is a challenging problem. In this paper, a novel approach based on fuzzy cluster ensemble techniques to solve this problem is presented. The advantage of this approach is that the fuzzy clustering ensemble allows the incremental inclusion of temporal information re- garding the appearance of static text in videos. Com- parative experimental results for a test set of 10.92 minutes of video sequences have shown the very good performance of the proposed approach with an overall recall of 92.04% and a precision of 96.71%.