Enhanced automated body feature extraction from a 2D image using anthropomorphic measures for silhouette analysis

作者：

Highlights：

• Approach that derives human metrology measurements from 2D images of silhouettes.

• Dynamic background segmentation to support silhouette detection with realistic backgrounds.

• Parallel feature extraction method based on an anthropometric search for online processing.

• Validity of the improved silhouette detection approach for silhouette identification.

摘要

•Approach that derives human metrology measurements from 2D images of silhouettes.•Dynamic background segmentation to support silhouette detection with realistic backgrounds.•Parallel feature extraction method based on an anthropometric search for online processing.•Validity of the improved silhouette detection approach for silhouette identification.

论文关键词：Body feature points,Human feature extraction,Anthropomorphic measures

论文评审过程：Received 15 May 2016, Revised 20 July 2016, Accepted 4 September 2017, Available online 8 September 2017, Version of Record 15 September 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.09.006