Street-crimes Modelled Arms Recognition Technique (SMART) : Using VGG

Syed Atif Ali Shah, Mahmoud Ahmad Al-Khasawneh, M. I. Uddin
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Abstract

Open access of arms(weapons) is one of the very common threat to the peace. Criminal activities especially violence directly hits peace and economic status of the society which results in stress and downfall; one of the major reason for all this anarchy is the open access to arms. This disordered situation can be handled using automatic arms detection. CNN along with its variant models demonstrated to be the best among all other machineries. In this paper VGG is compared with LeNet and AlexNet and a system is proposed for arms detection from video surveillance and named it SMART (Street-crimes Modelled Arms Recognition Technique). Results shown the efficacy of the proposed model (SMART) as compared to other models.
街头犯罪模拟武器识别技术(SMART):使用VGG
武器的公开获取是对和平的一个非常普遍的威胁。犯罪活动特别是暴力直接冲击社会的和平和经济地位,造成压力和垮台;所有这些无政府状态的一个主要原因是武器的开放。这种混乱的情况可以使用自动武器检测来处理。CNN及其变体模型被证明是所有其他机器中最好的。本文将VGG与LeNet和AlexNet进行了比较,提出了一种基于视频监控的武器检测系统,并将其命名为SMART (Street-crimes modeling arms Recognition Technique)。结果表明,与其他模型相比,所提出的模型(SMART)的有效性。
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