Distributed Object Tracking Using a Cluster-Based Kalman Filter in Wireless Camera Networks

Local data aggregation is an effective means to save sensor node energy and prolong the lifespan of wireless sensor networks. However, when a sensor network is used to track moving objects, the task of local data aggregation in the network presents a new set of challenges, such as the necessity to e...

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Veröffentlicht in:	IEEE journal of selected topics in signal processing 2008-08, Vol.2 (4), p.448-463
Hauptverfasser:	Medeiros, H., Park, J., Kak, A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Agglomeration Base stations Cameras clustering Clusters distributed tracking Estimates Information filtering Information filters Kalman filtering Kalman filters Networks Nonlinearity Position measurement Protocols sensor Sensors State estimation Studies Target tracking Tracking wireless camera networks Wireless networks Wireless sensor networks
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