This paper presents a layered network architecture and the enabling technologies for accomplishing vision-based behavioral analysis of unattended environments. Specifically the vision network covers both the attended environment and its surroundings by means of hybrid cameras. The layer overlooking at the surroundings is laid outdoor and tracks people, monitoring entrance/exit points. It recovers the geometry of the site under surveillance and communicates people positions to a higher level layer. The layer monitoring the unattended environment undertakes similar goals, with the addition of maintaining a global mosaic of the observed scene for further understanding. Moreover, it merges information coming from sensors beyond the vision to deepen the understanding or increase the reliability of the system. The behavioral analysis is demanded to a third layer that merges the information received from the two other layers and infers knowledge about what happened, happens and will be likely happening in the environment. The paper also describes a case study that was implemented in the Engineering Campus of the University of Modena and Reggio Emilia, where our surveillance system has been deployed in a computer laboratory which was often unaccessible due to lack of attendance.

Enabling Technologies on Hybrid Camera Networks for Behavioral Analysis of Unattended Indoor Environments and Their Surroundings / Gualdi, Giovanni; Prati, Andrea; Cucchiara, Rita; E., Ardizzone; M., La Cascia; L., Lo Presti; M., Morana. - ELETTRONICO. - (2008), pp. 101-108. ((Intervento presentato al convegno 1st ACM Workshop on Vision Networks for Behaviour Analysis, VNBA'08, Co-located with the 2008 ACM International Conference on Multimedia, MM'08 tenutosi a Vancouver, BC, Canada nel 31 October 2008 [10.1145/1461893.1461911].

Enabling Technologies on Hybrid Camera Networks for Behavioral Analysis of Unattended Indoor Environments and Their Surroundings

GUALDI, Giovanni;PRATI, Andrea;CUCCHIARA, Rita;
2008

Abstract

This paper presents a layered network architecture and the enabling technologies for accomplishing vision-based behavioral analysis of unattended environments. Specifically the vision network covers both the attended environment and its surroundings by means of hybrid cameras. The layer overlooking at the surroundings is laid outdoor and tracks people, monitoring entrance/exit points. It recovers the geometry of the site under surveillance and communicates people positions to a higher level layer. The layer monitoring the unattended environment undertakes similar goals, with the addition of maintaining a global mosaic of the observed scene for further understanding. Moreover, it merges information coming from sensors beyond the vision to deepen the understanding or increase the reliability of the system. The behavioral analysis is demanded to a third layer that merges the information received from the two other layers and infers knowledge about what happened, happens and will be likely happening in the environment. The paper also describes a case study that was implemented in the Engineering Campus of the University of Modena and Reggio Emilia, where our surveillance system has been deployed in a computer laboratory which was often unaccessible due to lack of attendance.
1st ACM Workshop on Vision Networks for Behaviour Analysis, VNBA'08, Co-located with the 2008 ACM International Conference on Multimedia, MM'08
Vancouver, BC, Canada
31 October 2008
101
108
Gualdi, Giovanni; Prati, Andrea; Cucchiara, Rita; E., Ardizzone; M., La Cascia; L., Lo Presti; M., Morana
Enabling Technologies on Hybrid Camera Networks for Behavioral Analysis of Unattended Indoor Environments and Their Surroundings / Gualdi, Giovanni; Prati, Andrea; Cucchiara, Rita; E., Ardizzone; M., La Cascia; L., Lo Presti; M., Morana. - ELETTRONICO. - (2008), pp. 101-108. ((Intervento presentato al convegno 1st ACM Workshop on Vision Networks for Behaviour Analysis, VNBA'08, Co-located with the 2008 ACM International Conference on Multimedia, MM'08 tenutosi a Vancouver, BC, Canada nel 31 October 2008 [10.1145/1461893.1461911].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11380/589850
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