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Cooperative estimation of 3D target object motion via networked visual motion observers

机译:通过网络视觉运动观测器对3D目标物体运动进行协作估计

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This paper addresses cooperative estimation of 3D target motion for visual sensor networks. In one of our previous works, we already presented a cooperative estimation algorithm called networked visual motion observers. In this paper, we first clarify averaging accuracy attained by the networked estimation mechanism. Then, we analyze convergence speed of the estimates and clarify a relation of the speed to the graph structures. Moreover, we also reveal a tracking performance of the estimates to target objects motion and derive a connection between the tracking performance and a visual feedback gain in the algorithm. Finally the effectiveness of the present estimation algorithm is demonstrated through experiments.
机译:本文讨论了视觉传感器网络的3D目标运动的协同估计。在我们以前的工作之一中,我们已经提出了一种称为网络视觉运动观测器的协作估计算法。在本文中,我们首先阐明了通过网络估计机制获得的平均准确度。然后,我们分析估计的收敛速度,并阐明速度与图结构的关系。此外,我们还揭示了针对目标对象运动的估计值的跟踪性能,并推导了跟踪性能与算法中的视觉反馈增益之间的联系。最后通过实验证明了该估计算法的有效性。

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