A feature covariance matrix with serial particle filter for isolated sign language recognition

作者：

Highlights：

• A fusion of median and mode filtering for better background model.

• A serial particle filter that can better detect and track the object of interest.

• A novel covariance matrix feature for isolated sign language representation.

摘要

•A fusion of median and mode filtering for better background model.•A serial particle filter that can better detect and track the object of interest.•A novel covariance matrix feature for isolated sign language representation.

论文关键词：Sign language recognition,Feature covariance matrix,Serial particle filter

论文评审过程：Received 25 February 2015, Revised 28 January 2016, Accepted 29 January 2016, Available online 5 February 2016, Version of Record 20 February 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.01.047