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Journal Article 지능형 CCTV 기반 동적 범죄예측 기술 동향
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Authors
박상욱, 오선호, 박수완, 임경수, 최범석, 박소희, 김상원, 한승완, 한종욱, 김건우
Issue Date
2020-04
Citation
전자통신동향분석, v.35, no.2, pp.17-27
ISSN
1225-6455
Publisher
한국전자통신연구원
Language
Korean
Type
Journal Article
DOI
https://dx.doi.org/10.22648/ETRI.2020.J.350202
Abstract
Predicting where and when a crime may occur in an area of interest is one of many strategies of predictive policing. Multidimensional analysis, including CCTV, can overcome the limitations of hotspot prediction, especially of violent crimes. In order to identify the precursors of a crime, it is necessary to analyze dynamic data such as attributes and activities of people, social information, environmental information, traffic flows, and weather. These parameters can be recognized by CCTV. In addition, it provides accurate analysis of the circumstances of a crime in a dynamic situation, calculates the risk, and predicts the probability of a crime occurring in the near future. Additionally, it provides ways to gather historical criminal datasets, including sensitive personal information.
KSP Keywords
Area of Interest, Environmental information, Predictive policing, Sensitive personal information, Social Information, Traffic flow, Violent crimes, dynamic data, multidimensional analysis
This work is distributed under the term of Korea Open Government License (KOGL)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
Type 4: