  Human action recognition has been an important topic in computer vision due
to its many applications such as video surveillance, human machine interaction
and video retrieval. One core problem behind these applications is
automatically recognizing low-level actions and high-level activities of
interest. The former is usually the basis for the latter. This survey gives an
overview of the most recent advances in human action recognition during the
past several years, following a well-formed taxonomy proposed by a previous
survey. From this state-of-the-art survey, researchers can view a panorama of
progress in this area for future research.
