The use of automated surveillance systems is common in several application domains, from transport and commerce to military. Surveillance systems evolved through the years: first and second generation systems use fixed or semi-mobile cameras, while third generation systems make use of autonomous robots. This way intelligent surveillance systems turn into distributed systems, and their configuration can vary to take into account particular environmental conditions or to compensate for one or more malfunctioning sensors. This paper describes MARVIN, a mobile autonomous robot to be used in a video surveillance system. Using well-established face-detection and face-recognition methods, MARVIN can track and follow human faces in the monitored environment. This paper proposes also an experimental evaluation of the real-time performances of the system, under conditions specified in a well-defined reference scenario.

MARVIN: Mobile Autonomous Robot for Video Surveillance Networks / Claudi, Andrea; Di Benedetto, Francesco; Dolcini, Gianluca; Palazzo, Luca; Dragoni, Aldo Franco. - STAMPA. - (2012), pp. 21-26. (Intervento presentato al convegno Sixth UKSim/AMSS European Symposium on Computer Modeling and Simulation (EMS), 2012 tenutosi a Malta, Malta nel 14-16 Nov. 2012) [10.1109/EMS.2012.37].

MARVIN: Mobile Autonomous Robot for Video Surveillance Networks

CLAUDI, ANDREA;DOLCINI, Gianluca;PALAZZO, Luca;DRAGONI, Aldo Franco
2012-01-01

Abstract

The use of automated surveillance systems is common in several application domains, from transport and commerce to military. Surveillance systems evolved through the years: first and second generation systems use fixed or semi-mobile cameras, while third generation systems make use of autonomous robots. This way intelligent surveillance systems turn into distributed systems, and their configuration can vary to take into account particular environmental conditions or to compensate for one or more malfunctioning sensors. This paper describes MARVIN, a mobile autonomous robot to be used in a video surveillance system. Using well-established face-detection and face-recognition methods, MARVIN can track and follow human faces in the monitored environment. This paper proposes also an experimental evaluation of the real-time performances of the system, under conditions specified in a well-defined reference scenario.
2012
9781467349772
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/86357
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 10
  • ???jsp.display-item.citation.isi??? 3
social impact