文章基本信息

标题：An Intelligent Reconnaissance Framework for Homeland Security
本地全文：下载
作者：Tarun Kumar ; Tarun Kumar ; Dharmender Singh Kushwaha 等
期刊名称：Defence Science Journal
印刷版ISSN：0976-464X
出版年度：2019
卷号：69
期号：4
页码：361-368
DOI：10.14429/dsj.69.12514
出版社：Defence Scientific Information & Documentation Centre
摘要：The cross border terrorism and internal terrorist attacks are critical issues for any country to deal with. In India, such types of incidents that breach homeland security are increasing now a day. Tracking and combating such incidents depends only on the radio communications and manual operations of security agencies. These security agencies face various challenges to get the real-time location of the targeted vehicles, their direction of fleeing, etc. This paper proposes a novel application for automatic tracking of suspicious vehicles in real-time. The proposed application tracks the vehicle based on their registration number, type, colour and RFID tag. The proposed approach for vehicle recognition based on image processing achieves 92.45 per cent accuracy. The RFID-based vehicle identification technique achieves 100 per cent accuracy. This paper also proposes an approach for vehicle classification. The average classification accuracy obtained by the proposed approach is 93.3 per cent. An integrated framework for tracking of any vehicle at the request of security agencies is also proposed. Security agencies can track any vehicles in a specific time period by using the user interface of the application.
关键词：Vehicle detection;Vehicle tracking;Automatic number plate detection;Radio frequency identification;Reconnaissance
其他关键词：Vehicle detection;Vehicle tracking;Automatic number plate detection;Radio frequency identification;Reconnaissance