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Distributed activity recognition in camera networks via low-rank matrix recovery

机译:通过低秩矩阵恢复在摄像机网络中进行分布式活动识别

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Multi-view action recognition addresses many challenges like view-invariance and occlusion. But the huge amount of data makes it hard for use in real life applications. In this paper, we propose a distributed activity classification framework based on consensus matrix completion, where several smart cameras are observing the scene, each process their observations and come to an agreement about the activity class, through communication. We validate our approach using IXMAS dataset.
机译:多视图动作识别解决了许多挑战,例如视图不变性和遮挡。但是海量数据使它难以在现实生活中使用。在本文中,我们提出了一种基于共识矩阵完成度的分布式活动分类框架,该框架中有多个智能相机观察场景,每个智能相机通过观察进行处理并通过交流达成关于活动类别的协议。我们使用IXMAS数据集验证了我们的方法。

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