{"title":"Smart Video Surveillance System For Level Crossing: A Systematic Literature Review","authors":"Rian Putra Pratama, Suhono Harso Supangkat","doi":"10.1109/ICISS53185.2021.9533222","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on ICT for Smart Society (ICISS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICISS53185.2021.9533222","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
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.
平交道口是铁路线与公路或小路交叉的十字路口。政府在2009年第22号法律中制定了关于交通和道路运输的规定,规定了整个印度尼西亚的平交道口。然而,来自印尼PT Kereta Api (KAI)的数据显示,在2020年期间,在平交道口发生了198起事故和大约5000起违规行为。目前在平交道口使用的监控系统仍然是传统的,仅依靠监督人员和一些有闭路电视监控的平交道口。在过去的十年里,基于计算机视觉的视频监控系统研究得到了广泛的开展。大多数视频监控系统的研究都试图用视频处理算法取代人的功能或传统的系统。本文将对2015年至2021年发表的人工智能在平交道口监控系统中的应用进行综述。文献综述过程包括分析文件以确定调查范围,使用智能视频监控系统、框架、方法和数据集来检测水平交叉违规者。在本文的结论部分,阐述了未来智能视频监控系统对违章对象检测的研究面临的挑战和机遇。