EdgeBox:近实时事件检测的实时边缘视频分析

2018 IEEE/ACM Symposium on Edge Computing (SEC) Pub Date : 2018-10-01 DOI:10.1109/SEC.2018.00040

Bing Luo, Sheng Tan, Zhifeng Yu, Weisong Shi

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引用次数: 16

摘要

随着监控摄像机在公共和工作场所安全领域的日益普及，对事件自动检测的需求也越来越大。提出了一种基于边缘计算的安全解决方案EdgeBox，以近乎实时的方式检测安全威胁事件，并在可能的情况下通知相关方。我们选择一个武装抢劫银行的场景作为我们的案例研究，以展示EdgeBox解决方案如何提高安全意识并迅速响应安全事件。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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EdgeBox: Live Edge Video Analytics for Near Real-Time Event Detection

With growing popularity of surveillance cameras in public and workplace safety, there is increasing demand for automatic event detection. An edge computing based security solution, EdgeBox, is proposed to detect safety threat events in a near real time fashion and notify related parties when possible. We choose an armed bank robbery scenario as our case study to show how the EdgeBox solution can improve security awareness and prompt responses to safety incidents.

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来源期刊

2018 IEEE/ACM Symposium on Edge Computing (SEC)

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