Real time license plate localization, tracking and recognition are reasonably tackled problems with many successful solutions. Though most of these solutions are plausibly fast and efficient, however, almost all of the existing real time systems either deal with only a single problem at a time; detection, tracking, recognition or they are not efficient enough to work well for low quality surveillance videos. The aim of this paper is to address all three tasks for low quality videos in real time. A novel approach is proposed for efficient localization of license plate in video sequence and slightly adapted existing techniques have been applied for tracking and recognition. The implemented system is intelligent enough to automatically adjust for varying camera distances and diverse lighting conditions.