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Predicting City Safety Perception Based on Visual Image Content

  • Sergio F. Acosta
  • Jorge E. CamargoEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11401)

Abstract

Safety perception measurement has been a subject of interest in many cities of the world. This is due to its social relevance, and to its effect on some local economic activities. Even though people safety perception is a subjective topic, sometimes it is possible to find out common patterns given a restricted geographical and sociocultural context. This paper presents an approach that makes use of image processing and machine learning techniques to detect with high accuracy urban environment patterns that could affect citizen’s safety perception.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.UnSecureLab Research GroupUniversidad Nacional de ColombiaBogotáColombia

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