Advances in Human Action Recognition: A Survey
It synthesizes existing research for researchers in computer vision, but is incremental as it builds on a prior taxonomy without introducing new methods.
This survey provides an overview of recent advances in human action recognition in computer vision, covering low-level actions and high-level activities for applications like video surveillance and human-machine interaction, without presenting new experimental results.
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.