Research on the Evaluation Method of Surveillance Camera Layout for <scp>3D</scp> Spatial Grids

ABSTRACT With the development of projects like “smart cities,” the assessment of surveillance camera layout has emerged as a pivotal step in pursuing optimized monitoring systems. The current body of research on the evaluation of outdoor camera layouts is deficient in its lack of attention to methods that address complex 3D scenes and local monitoring quality. This paper presents an evaluation system prioritizing monitoring quality in outdoor surveillance camera layouts. A quantitative evaluation method is proposed based on a 3D spatial grid, leveraging camera parameters to construct a detailed camera coverage model. By voxelization of the 3D scene, key metrics such as spatial resolution, distortion factor, and multi‐view coverage factor are calculated. The Analytic Hierarchy Process is employed to determine the weights of these metrics. The method considers varying security requirements, enabling a comprehensive multi‐criteria assessment. This approach facilitates detailed blind spot detection and layout evaluation.

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Publication Details

Journal
Transactions in GIS
Published
2025-02-01
DOI
https://doi.org/10.1111/tgis.70004
Citations
1
Primary Topic
Video Surveillance and Tracking Methods
Type
article
Field-Weighted Citation Impact
1.28

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article

Research on the Evaluation Method of Surveillance Camera Layout for 3D Spatial Grids

Bingxian Lin, Q. F. Yin, Liangchen Zhou, Chunpeng Wei
1 citations
Transactions in GIS
Video Surveillance and Tracking Methods
1.28
article

Research on the Evaluation Method of Surveillance Camera Layout for 3D Spatial Grids

Bingxian Lin, Q. F. Yin, Liangchen Zhou, Chunpeng Wei
article en
1 citations

Abstract

ABSTRACT With the development of projects like “smart cities,” the assessment of surveillance camera layout has emerged as a pivotal step in pursuing optimized monitoring systems. The current body of research on the evaluation of outdoor camera layouts is deficient in its lack of attention to methods that address complex 3D scenes and local monitoring quality. This paper presents an evaluation system prioritizing monitoring quality in outdoor surveillance camera layouts. A quantitative evaluation method is proposed based on a 3D spatial grid, leveraging camera parameters to construct a detailed camera coverage model. By voxelization of the 3D scene, key metrics such as spatial resolution, distortion factor, and multi‐view coverage factor are calculated. The Analytic Hierarchy Process is employed to determine the weights of these metrics. The method considers varying security requirements, enabling a comprehensive multi‐criteria assessment. This approach facilitates detailed blind spot detection and layout evaluation.

Transactions in GISVol. 29(1)
Nanjing Normal University (CN), Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 23%
Video Surveillance and Tracking Methods
1.28
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Research on the Evaluation Method of Surveillance Camera Layout for <scp>3D</scp> Spatial Grids — Bingxian Lin, Q. F. Yin, et al. · Transactions in GIS (2025) | TGRS Research Map | TGRS