본문 바로가기
  • Home

Learning Method for Real-time Crime Prediction Model Utilizing CCTV

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2016, 21(5), pp.91~98
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

방승환 1 조현보 1

1포항공과대학교

Accredited

ABSTRACT

We propose a method to train a model that can predict the probability of a crime being committed. CCTV data by matching criminal events are required to train the crime prediction model. However, collecting CCTV data appropriate for training is difficult. Thus, we collected actual criminal records and converted them to an appropriate format using variables by considering a crime prediction environment and the availability of real-time data collection from CCTV. In addition, we identified new specific crime types according to the characteristics of criminal events and trained and tested the prediction model by applying neural network partial least squares for each crime type. Results show a level of predictive accuracy sufficiently significant to demonstrate the applicability of CCTV to real-time crime prediction.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.