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.
@article{arxiv.2012.12447,
title = {Skeleton-based Approaches based on Machine Vision: A Survey},
author = {Jie Li and Binglin Li and Min Gao},
journal= {arXiv preprint arXiv:2012.12447},
year = {2020}
}