Bottom-up/top-down coordination in a multiagent visual sensor network

In this paper an approach for multi-sensor coordination in a multiagent visual sensor network is presented. A belief-desire-intention model of multiagent systems is employed. In this multiagent system, the interactions between several surveillance-sensor agents and their respective fusion agent are discussed. The surveillance process is improved using a bottom-up/top-down coordination approach, in which a fusion agent controls the coordination process. In the bottom-up phase the information is sent to the fusion agent. On the other hand, in the top-down stage, feedback messages are sent to those surveillance-sensor agents that are performing an inconsistency tracking process with regard to the global fused tracking process. This feedback information allows to the surveillance-sensor agent to correct its tracking process. Finally, preliminary experiments with the PETS 2006 database are presented.