Abstract

We propose a novel approach to evaluating how effectively a closed circuit television (CCTV) system can monitor a targeted area. With 3D models of the target area and the camera parameters of the CCTV system, the approach produces surveillance coverage index, which is newly defined in this study as a quantitative measure for surveillance performance. This index indicates the proportion of the space being monitored with a sufficient resolution to the entire space of the target area. It is determined by computing surveillance resolution at every position and orientation, which indicates how closely a specific object can be monitored with a CCTV system. We present full mathematical derivation for the resolution, which depends on the location and orientation of the object as well as the geometric model of a camera. With the proposed approach, we quantitatively evaluated the surveillance coverage of a CCTV system in an underground parking area. Our evaluation process provided various quantitative-analysis results, compelling us to examine the design of the CCTV system prior to its installation and understand the surveillance capability of an existing CCTV system.

Highlights

  • circuit television (CCTV) surveillance operations have rapidly expanded due to the technology’s important role in crime prevention, traffic monitoring, and security [1]; controversies regarding privacy and the effectiveness of CCTV installation have continually arisen [2,3]

  • In reality when analyzing CCTV performance in terms of quantifiable indicators, we usually calculate the ratio of the blind spots depending on whether or not the target areas are observable by a CCTV

  • Out of the total 20,541 ground locations, 13,186 locations can be observed in CCTV images, and 64.2% of the ground surface is computed as the surveillance area

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Summary

Introduction

CCTV surveillance operations have rapidly expanded due to the technology’s important role in crime prevention, traffic monitoring, and security [1]; controversies regarding privacy and the effectiveness of CCTV installation have continually arisen [2,3]. The BIM models allow for the manipulation of surveillance locations and viewpoints; the idea of using the BIM as the basis for simulating CCTV coverage has been proposed and verified to determine surveillance performance [25,26]. The child is looking at the TV in a different direction from the optical axis of the camera and is sitting in a lower position away from the optical axis of the camera; the resolution of the camera image is insufficient to recognize his face even though his face is in the 3D coverage With commercial software such as VideoCAD, we can check 3D coverage and simulate images on virtual avatars captured by a certain camera in a site interactively through a 3D graphic interface.

Surveillance Coverage Evaluation
Surveillance Resolution and Coverage Index
Coverage Evaluation Procedure
Experimental Data
Overall Analysis
Areal Analysis
Path Analysis
Conclusions
Full Text
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