  Recently, skeleton-based approaches have achieved rapid progress on the basis
of great success in skeleton representation. Plenty of researches focus on
solving specific problems according to skeleton features. Some skeleton-based
approaches have been mentioned in several overviews on object detection as a
non-essential part. Nevertheless, there has not been any thorough analysis of
skeleton-based approaches attentively. Instead of describing these techniques
in terms of theoretical constructs, we devote to summarizing skeleton-based
approaches with regard to application fields and given tasks as comprehensively
as possible. This paper is conducive to further understanding of skeleton-based
application and dealing with particular issues.
