Review of motion analysis techniques

Abstract

Motion analysis is an important component of computer vision, dealing with the measurement of motion information from a time varying image sequence. The analysis of dynamic image sequences finds a wide range of applications, including robot navigation, target tracking, traffic monitoring, motion of biological cells, cloud and weather systems tracking, image coding, etc. The paper reviews the various techniques used in motion analysis from image sequences. The approaches are classified according to the methodology in two main groups: methods based on the optical flow constraint equation, and matching. The advantages and disadvantages of both methodologies are also discussed.