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Multisensor video fusion based on higher order singular value decomposition

机译:基于高阶奇异值分解的多传感器视频融合

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摘要

With the ongoing development of sensor technologies, more and more kinds of video sensors are being employed in video surveillance systems to improve robustness and monitoring performance. In addition, there is often a strong motivation to simultaneously observe the same scene by more than one kind of sensor. How to sufficiently and effectively utilize the information captured by these different sensors is thus of considerable interest. This can be realized using video fusion, by which multiple aligned videos from different sensors are merged into a composite.
机译:随着传感器技术的不断发展,视频监视系统中越来越多地使用视频传感器,以提高鲁棒性和监视性能。另外,通常有很强的动机通过一种以上的传感器同时观察同一场景。因此,如何充分有效地利用由这些不同的传感器捕获的信息非常重要。这可以使用视频融合来实现,通过这种融合,来自不同传感器的多个对齐的视频将合并为一个复合视频。

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