基于闭路电视和视频分析的火车站抛掷活动检测

Vincentius Ian Widi Nugroho, F. Hidayat
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引用次数: 0

摘要

闭路电视和视频分析可以帮助维护智慧城市的安全。维护火车站安全的一个必要条件是对攻击行为进行监控,比如投掷。本文提出在万隆火车站现有的VIANA平台上增加一个使用视频分析和OpenPose的视频分析功能。在VIANA中集成此功能的深度学习过程必须完成,包括数据集准备,训练,推理设计和集成。事实证明,该功能在功能和非功能上都是有效的,具有76%的精度,86%的召回率和79%的准确性,以及28%的GPU利用率,6%的内存利用率和61°C的GPU温度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Throwing Activity Detection Using CCTV and Video Analytics for Safety and Security in Railway Station
CCTV and video analytics could assist in maintaining the safe and secure aspect of smart city. One necessity of keeping safety and security in railway stations is aggression monitoring such as throwing. A video analytics feature using video analytics and OpenPose is proposed to be added to an existing VIANA platform for railways station in Bandung. Deep learning processes to get this feature integrated in VIANA must be done including dataset preparation, training, inferencing design, and integration. This feature is proven to be effective functionally and nonfunctionally with a 76% precision, 86% recall, and 79% accuracy as well as 28% GPU utilization, 6% memory utilization and 61°C GPU temperature.
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