To enhance video surveillance systems, multi-modal sensor integration can be a successful strategy. In this work, a computer vision system able to detect and track people from multiple cameras is integrated with a wireless sensor network mounting PIR (Passive InfraRed) sensors. The two subsystems are briefly described and possible cases in which computer vision algorithms are likely to fail are discussed. Then, simple but reliable outputs from the PIR sensor nodes are exploited to improve the accuracy of the vision system. In particular, two case studies are reported: the first uses the presence detection of PIR sensors to disambiguate between an opened door and a moving person, while the second handles motion direction changes during occlusions. Preliminary results are reported and demonstrate the usefulness of the integration of the two subsystems.

A. Prati, R. Vezzani, L. Benini, E. Farella, P. Zappi (2005). Enlarge and enhance the view with video, audio and sensor networks: An integrated multi-modal sensor network for video surveillance. NEW YORK, NY : ACM Press.

Enlarge and enhance the view with video, audio and sensor networks: An integrated multi-modal sensor network for video surveillance

BENINI, LUCA;FARELLA, ELISABETTA;ZAPPI, PIERO
2005

Abstract

To enhance video surveillance systems, multi-modal sensor integration can be a successful strategy. In this work, a computer vision system able to detect and track people from multiple cameras is integrated with a wireless sensor network mounting PIR (Passive InfraRed) sensors. The two subsystems are briefly described and possible cases in which computer vision algorithms are likely to fail are discussed. Then, simple but reliable outputs from the PIR sensor nodes are exploited to improve the accuracy of the vision system. In particular, two case studies are reported: the first uses the presence detection of PIR sensors to disambiguate between an opened door and a moving person, while the second handles motion direction changes during occlusions. Preliminary results are reported and demonstrate the usefulness of the integration of the two subsystems.
2005
Proceedings of the third ACM international workshop on Video surveillance & sensor networks
95
102
A. Prati, R. Vezzani, L. Benini, E. Farella, P. Zappi (2005). Enlarge and enhance the view with video, audio and sensor networks: An integrated multi-modal sensor network for video surveillance. NEW YORK, NY : ACM Press.
A. Prati; R. Vezzani; L. Benini; E. Farella; P. Zappi
File in questo prodotto:
Eventuali allegati, non sono esposti

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/11585/29154
 Attenzione

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

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