As the “Human-centered computing” is getting more popular and novel applications are evolving

action recognition and activity understanding are attracting researchers in the field of computer vision. In this paper

we review the state-of-the-art work on action and activity analysis with focus on three parts: Definition of activity

low-level motion features extraction and action representation

and reasoning method for activity understanding. Furthermore

open problems for future research and potential directions are discussed.