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This paper investigates cooperative estimation of 3D target object motion forvisual sensor networks. In particular, we consider the situation where multiplesmart vision cameras see a group of target objects. The objective here is tomeet two requirements simultaneously: averaging for static objects and trackingto moving target objects. For this purpose, we present a cooperative estimationmechanism called networked visual motion observer. We then derive an upperbound of the ultimate error between the actual average and the estimatesproduced by the present networked estimation mechanism. Moreover, we alsoanalyze the tracking performance of the estimates to moving target objects.Finally the effectiveness of the networked visual motion observer isdemonstrated through simulation.

Cooperative Estimation of 3D Target Motion via Networked Visual Motion Observer