Multimedia sensor networks: an approach based on 3D real-time reconstruction

This paper presents the architecture of a multimedia sensor network, especially dedicated to video surveillance. The founding ideas of our architecture are: (a) continuous 3D real-time reconstruction of the monitored area in which streams originated form video sensors are merged. (b) locating parts of data analysis/extraction tasks on the sensors themselves in a way to reduce drastically the network bandwidth usage, traditionally consumed by video stream. 

Hence video sensors perform in addition to capturing tasks, data analysis and extraction of features needed for the 3D reconstruction. We validated our approach through real experimentations, in particular on the video sensor.

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