Human motion classification using 2D stick-model matching regression coefficients

作者：

Highlights：

• A 2D human motion model developed based on polynomial regression data fit.

• Human motion modeled in three segments: backbone, upper body and lower body.

• Tolerance rate considers the acceptable range for reliable motion estimations.

• Classification accuracy for developed estimation model is on par with the actual.

摘要

•A 2D human motion model developed based on polynomial regression data fit.•Human motion modeled in three segments: backbone, upper body and lower body.•Tolerance rate considers the acceptable range for reliable motion estimations.•Classification accuracy for developed estimation model is on par with the actual.

论文关键词：2D motion,Polynomial fitting,Human stick model,Motion estimation,Classification

论文评审过程：Received 19 June 2015, Revised 20 November 2015, Accepted 16 February 2016, Available online 8 March 2016, Version of Record 8 March 2016.

论文官网地址：https://doi.org/10.1016/j.amc.2016.02.032