A Novel Method of Spatiotemporal Dynamic Geo-Visualization of Criminal Data, Applied to Command and Control Centers for Public Safety

Autor: Julio Suarez-Paez, Carlos E. Palau, Manuel Esteve, Jon Ander Gómez, Mayra L. Salcedo-González

Publikováno v: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
ISPRS International Journal of Geo-Information
Volume 9
Issue 3
ISPRS International Journal of Geo-Information, Vol 9, Iss 3, p 160 (2020)

[EN] This article shows a novel geo-visualization method of dynamic spatiotemporal data that allows mobility and concentration of criminal activity to be study. The method was developed using, only and significantly, real data of Santiago de Cali (Co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f316f40bf41fb435381b9fabf91cdc62

Reduced computational cost prototype for street theft detection based on depth decrement in Convolutional Neural Network. Application to Command and Control Information Systems (C2IS) in the National Police of Colombia

Autor: Mayra L. Salcedo-González, Julio Suarez-Paez, Jon Ander Gómez, Carlos E. Palau, Manuel Esteve, Israel Perez-Llopis

Publikováno v: International Journal of Computational Intelligence Systems, Vol 12, Iss 1 (2018)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname

[EN] This paper shows the implementation of a prototype of street theft detector using the deep learning technique R- CNN (Region-Based Convolutional Network), applied in the Command and Control Information System (C2IS) of National Police of Colombi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c56139933485648b4f343b82cb36503
https://www.atlantis-press.com/article/25905186/view