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Tracking superimposed text moving across several frames of a video is relevant for exploiting its temporal occurrence for effective video content indexing and retrieval. In this paper, an approach is presented that automatically detects, localizes and tracks text appearing in videos. The proposed approach consists of two steps: (1) unsupervised text detection and localization in each N th frame to monitor new text events, i.e. text appearing in a video for the first time; (2) text tracking within a group of pictures (GOP) using MPEG motion vector information extracted directly from the compressed video stream. Comparative experimental results for a set of videos are presented to show the benefits of our approach.Text detection and localization, text tracking in videos, MPEG motion vectors, content-based video indexing and retrieval.