An efficient computer system for regulating and monitoring the density of people in confined areas is very helpful. It becomes imperative to implement a solution that takes into account the processing power and pre-installed hardware in these places. Using computer vision, in particular, to make use of regular CCTV cameras that have been augmented by neural networks, solves the problem of precisely counting individuals in enclosed spaces. We describe a control system specifically designed for this goal, maximizing the capabilities of current infrastructure and enhancing neural networks to achieve higher frame rates.
Increased frame rate for Crowd Counting in Enclosed Spaces using GANs / Puglisi, Adriano; Fiani, Francesca; DE MAGISTRIS, Giorgio. - 3684:(2023), pp. 39-45. (Intervento presentato al convegno 8th International Conference of Yearly Reports on Informatics, Mathematics, and Engineering, ICYRIME 2023 tenutosi a Napoli; Italia).
Increased frame rate for Crowd Counting in Enclosed Spaces using GANs
Adriano Puglisi
Co-primo
Investigation
;Francesca Fiani
Co-primo
Investigation
;Giorgio De Magistris
Co-primo
Investigation
2023
Abstract
An efficient computer system for regulating and monitoring the density of people in confined areas is very helpful. It becomes imperative to implement a solution that takes into account the processing power and pre-installed hardware in these places. Using computer vision, in particular, to make use of regular CCTV cameras that have been augmented by neural networks, solves the problem of precisely counting individuals in enclosed spaces. We describe a control system specifically designed for this goal, maximizing the capabilities of current infrastructure and enhancing neural networks to achieve higher frame rates.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
