3D skeleton-based human action classification: A survey
作者：
Highlights：
• State of the art 3D skeleton-based action classification methods are reviewed.
• Methods are categorized based on the adopted feature representation.
• Motivations and challenges for skeleton-based action recognition are highlighted.
• Data pre-processing, public benchmarks and validation protocols are discussed.
• Comparison of renowned methods, open problems and future work are presented.
摘要
Highlights•State of the art 3D skeleton-based action classification methods are reviewed.•Methods are categorized based on the adopted feature representation.•Motivations and challenges for skeleton-based action recognition are highlighted.•Data pre-processing, public benchmarks and validation protocols are discussed.•Comparison of renowned methods, open problems and future work are presented.
论文关键词：Action recognition,Skeleton,Body joint,Body pose representation,Action classification
论文评审过程：Received 1 April 2015, Revised 27 October 2015, Accepted 24 November 2015, Available online 2 December 2015, Version of Record 8 February 2016.
论文官网地址：https://doi.org/10.1016/j.patcog.2015.11.019
