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This paper investigates cooperative estimation of averaged moving target object poses in three dimensions for visual sensor networks. In particular, we consider the situation where multiple vision cameras see a common target object but the poses consistent with visual measurements differ from camera to camera due to a variety of uncertainties. Under the situation, we try to estimate an average of the contaminated poses not only for static but also for moving target objects by using only localdoi:10.1109/tac.2012.2215732 fatcat:3in34szqvrasbgzc2gs2lezxna