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Smart Video Surveillance System For Level Crossing: A Systematic Literature Review

机译:平交道口智能视频监控系统:系统文献综述

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A level crossing is an intersection where a railway line crosses a road or path. The government has made regulation that set level crossings throughout Indonesia, Provisions on traffic and road transport in Law No. 22 of 2009. However, data from PT Kereta Api Indonesia (KAI) shows that during 2020 there was 198 accidents and around 5000 trespasses occurred at level crossings. The surveillance system currently used in level crossings is still conventional, which only relies on supervisory officers and some level crossings monitored by CCTV. Research in the field of video surveillance systems with a computer vision approach has been widely carried out in the past decade. Most researches on video surveillance systems try to replace human functions or traditional systems with video processing algorithms. This paper will review the literature on the application of artificial intelligence for the surveillance system level crossings published from 2015 to 2021. The literature review process consists of analyzing the document to determine the scope of the investigation using intelligent video surveillance systems, frameworks, methods and datasets to detect level crossing violators. In the conclusion of this paper, it will be explained about the challenges and opportunities of research on the object detected violations using intelligent video surveillance system in the future.
机译:平交道口是铁路线穿过道路或路径的交叉口。政府在2009年第22号法律中制定了规定,在印度尼西亚全境设置平交道口,规定交通和道路运输。然而,印尼PT Kereta Api(KAI)的数据显示,2020年期间,有198起事故发生,平交道口发生了约5000起非法侵入事件。目前在平交道口使用的监控系统仍然是传统的,仅依靠监督员和CCTV监控的一些平交道口。在过去十年中,采用计算机视觉方法对视频监控系统进行了广泛的研究。大多数关于视频监控系统的研究都试图用视频处理算法取代人类的功能或传统系统。本文将回顾有关人工智能在2015至2021年间公布的监视系统级交叉口的应用的文献。文献回顾过程包括分析文件,确定调查范围,使用智能视频监控系统、框架、方法和数据集来检测平交道口违规者。在本文的结论中,将解释未来使用智能视频监控系统对检测到的违规对象进行研究的挑战和机遇。

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