ArchCam: Real time expert system for suspicious behaviour detection in ATM site

作者：

Highlights：

• An expert system, ArchCam was proposed for detecting suspicious behaviours in ATM sites.

• A technique was proposed to detect squatting and climbing activity in front of ATM.

• A technique was proposed to detect belt-shape objects within ATM sites (attempt to pull the ATM away).

• A prototype system consists of Tegra TX1 (with GPU) and other peripheral systems was built.

摘要

•An expert system, ArchCam was proposed for detecting suspicious behaviours in ATM sites.•A technique was proposed to detect squatting and climbing activity in front of ATM.•A technique was proposed to detect belt-shape objects within ATM sites (attempt to pull the ATM away).•A prototype system consists of Tegra TX1 (with GPU) and other peripheral systems was built.

论文关键词：ATM,Suspicious behaviour,GPU,Image processing,Crime prevention,Security

论文评审过程：Received 2 October 2017, Revised 13 March 2018, Accepted 11 May 2018, Available online 14 May 2018, Version of Record 24 May 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.05.014