E2E-VSDL: End-to-end video surveillance-based deep learning model to detect and prevent criminal activities

作者：

Highlights：

• End-to-end Video Surveillance model for Crime detection and Prevention is proposed.

• GRUs and SRUs are incorporated with CNN Architectural Changes in End-to-End fashion.

• Bagged and Random Video Frames are selected to reduce the Complexity and Processing.

摘要

•End-to-end Video Surveillance model for Crime detection and Prevention is proposed.•GRUs and SRUs are incorporated with CNN Architectural Changes in End-to-End fashion.•Bagged and Random Video Frames are selected to reduce the Complexity and Processing.

论文关键词：Criminal activities,Video surveillance,End-to-end deep learning,CNN,BiGRU

论文评审过程：Received 13 February 2022, Revised 30 March 2022, Accepted 21 April 2022, Available online 30 April 2022, Version of Record 10 May 2022.

论文官网地址：https://doi.org/10.1016/j.imavis.2022.104467