The State-of-the-Art Research Progress on Motion Segmentation

Motion segmentation is currently one of the most active research topics in the areas of computer vision and multimedia. It has a wide spectrum of potential applications, including action recognition, visual surveillance, video indexing, video compression, and many other applications. In this paper, we review the recent developments (especially for those in recent five years) of motion segmentation methods and analyze their respective pros and cons. Several valuable research directions are discussed and some suggestions are put forward in the end.