A Comparative Study Of Crowd Counting And Profiling Through Visual And Non-Visual Sensors

Jugal Kishor Gupta () and S.K. Gupta ()
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Jugal Kishor Gupta: Research Scholar, IFTM University, Moradabad, India.
S.K. Gupta: Associate Professor Department of Computer Science & Engineering BIET, Jhansi, India

Acta Informatica Malaysia (AIM), 2019, vol. 3, issue 1, 4-6

Abstract: In this paper we present a comparative critical study of visual and non-visual sensors used in crowd behavior analysis. The understanding of crowd has main impact of the analysis how much they support the system is the key factor of the analysis. The surveillance and security prospects are the main feature for crowd that can make system easy and gives better result. The visual sensors that have been widely used are wireless sensor network, computer vision, smart camera, sensor fusion and few more; and the non-visual sensors are regarding the call, IEEE 802, 11 signals measurement, Smart Evactrack, Social Network and Bluetooth etc. This comparative study identified the different analysis of crowd behavior and after analysis we show which technique is better to another one. The smart devices are used now days for surveillance and gives better result in crowd behavior analysis.

Keywords: Video Surveillance; Crowd Density; Crowd Analysis; Counting by detection; population profiling. (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:zib:zbnaim:v:3:y:2019:i:1:p:4-6

DOI: 10.26480/aim.01.2019.04.06

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