Weighted joint-based human behavior recognition algorithm using only depth information for low-cost intelligent video-surveillance system

作者：

Highlights：

• Human joint estimation and behavior recognition algorithms are presented.

• Only depth information is used and can be executed on a low cost computing platform.

• The proposed system can be used with any subject instantly without pre-calibration.

• Experiments to verify the proposed algorithms have been conducted.

摘要

•Human joint estimation and behavior recognition algorithms are presented.•Only depth information is used and can be executed on a low cost computing platform.•The proposed system can be used with any subject instantly without pre-calibration.•Experiments to verify the proposed algorithms have been conducted.

论文关键词：Video-surveillance system,Human joint estimation,Behavior recognition,Human-computer interaction (HCI)

论文评审过程：Received 28 January 2015, Revised 19 September 2015, Accepted 20 September 2015, Available online 2 October 2015, Version of Record 17 October 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.09.035