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Cited by 19Video Surveillance and Tracking MethodsTechnology and Security SystemsEvaluation and Optimization Models

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Risk Entropy Modeling of Surveillance Camera for Public Security Application

Open access
Zhang, Hongzhou, Li, Peiyue, Du, Zhiguo, Dou, Wei·2020·IEEE Access
DOI 10.1109/access.2020.2978247
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Abstract

Surveillance cameras are widely installed at public places around the world, and the video surveillance system plays an un-substitutable role in police work, especially in case investigation. The problem regarding the effectiveness and rationality of the video surveillance system comes into being in terms of its high demand for investment and rising public concern of over-construction potentially. To answer the question, it ought to establish mode and metrics for measuring effectiveness in theory. This article argued that the police video surveillance system is preferably a sensor network than a Physical Protect System (PPS) because its main feature is to provide the police officers with the visual information they need. Once the police cannot receive sufficient information from the system, decisions of public security are given based on limited or misleading information, and there may be some potential risks remained. Such risks of public security are not directly relevant to the integrity and value of the assets but the uncertainty of decision-making, which is different from the one of traditional PPS. In this paper, we proposed an entropy model for measuring the uncertainty based on attributions of video surveillance for law enforcement. Public security risk was divided into three types within the model according to the source of the risk, such as fixed targets (or restricted areas), moving objects, and video information quality. We verified the validity of the model by the simulation experiment of camera field optimization and discussed further work.

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Research works printed but not linked: 31

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Metadata

Authors
Zhang, H., Li, P., Du, Z., & Dou, W.
Affiliations
  • China People's Public Security University (CN)
  • Beijing University of Posts and Telecommunications (CN)
ORCID
Venue
IEEE Access
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2020
Volume
8
Pages
45343-45355
ISSN
2169-3536 (ISSN-L)
DOI
10.1109/access.2020.2978247
OpenAlex
W3009276976
Cited by
19
References
1
Citations by year
2025: 3 · 2024: 5 · 2023: 6 · 2022: 1 · 2021: 4
FWCI
1.07
Type
journal article
Language
en
Open access
Licence
Locations
  • IEEE Access (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Basic Research Project of Ministry of Public Security of PRC (2016GABJC01)
  • National Basic Research Program of China (2016YFC0801003)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Video Surveillance and Tracking Methods
  • Physical Sciences › Computer Science › Information Systems › Technology and Security Systems
  • Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Evaluation and Optimization Models
Keywords
surveillance cameras, video surveillance systems, uncertainty measurement, police decision-making, sensor networks, physical protection systems, camera placement optimization, moving object detection, risk classification

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CoChat. (2026). Citation check: Risk Entropy Modeling of Surveillance Camera for Public Security Application. https://app.cochat.ai/papers/10.1109/access.2020.2978247
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Zhang, H., Li, P., Du, Z., & Dou, W. (2020). Risk Entropy Modeling of Surveillance Camera for Public Security Application. IEEE Access. https://doi.org/10.1109/access.2020.2978247