Design considerations for the processing system of a CNN-based automated surveillance system

作者：

Highlights：

• New algorithms have changed the implementation of automated surveillance systems.

• Batches of camera frames better leverage modern processing hardware.

• Quantization can be effective in reducing processing time.

• Deep learning framework may impact performance.

摘要

•New algorithms have changed the implementation of automated surveillance systems.•Batches of camera frames better leverage modern processing hardware.•Quantization can be effective in reducing processing time.•Deep learning framework may impact performance.

论文关键词：Video surveillance,Computer vision,Object detection,Real-time systems,Benchmark testing

论文评审过程：Received 7 April 2019, Revised 27 May 2019, Accepted 17 June 2019, Available online 18 June 2019, Version of Record 24 June 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.06.037