City safety perception model based on street images using machine learning and image processing techniques
Abstract: Safety perception measurement has been a subject of interest in many cities of the world. This importance is due to its social relevance, and to its influence on many of the economic activities that take place in a city. The methods and procedures presented in this work make use of image p...
- Autores:
-
Acosta Lenis, Sergio Francisco
- Tipo de recurso:
- Fecha de publicación:
- 2018
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/69617
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/69617
http://bdigital.unal.edu.co/71630/
- Palabra clave:
- 37 Educación / Education
53 Física / Physics
6 Tecnología (ciencias aplicadas) / Technology
62 Ingeniería y operaciones afines / Engineering
Urban safety perception
Transfer learning
Deep learning
Support vector machine
TrueSkill
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional