This paper reviews the most important works in the literature focused on motion detection and feature extraction from video. It also may support a project that aims to create a new perspective on the license plate location and recognition extracted from an image sequence. We also implement three approaches for locating the moving vehicle in order to facilitate the process of extracting its license plate, such that the accuracy of methods for automatic license plate recognition could be improved. Three different strategies to segment the moving objects, i.e., background subtraction, temporal differing, and optical flow, are implemented and tested in videos (still images) using three different databases. From the results of the experiments the usefulness of these strategies for a license plate recognition system is discussed.