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Proposal for the Awakening Behavior Detection System Using Images and Adaptation for Fluctuation of Brightness Quantity in the Captured Image

机译:基于图像的觉醒行为检测系统和适应捕获图像中亮度量波动的建议

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摘要

Recently, accidents such that seniors fall down from the bed in care facilities or hospitals are increased. To prevent these accidents, we have developed the awakening behavior detection system using Neural Network.In this paper, it is a problem that the detection success rate of the current system using captured image in the clinical site is not enough.So, we analyze the captured image in the clinical site. From the result of the histogram analysis, it proves that the fluctuation of brightness quantity makes decrease the detection capability. Therefore, to decrease the influence of the brightness quantity, the histogram of the captured image should be equalized.Finally, we show that the histogram equalization reduces fluctuation of brightness quantity, numerically.
机译:近来,诸如老年人在护理机构或医院中从床上倒下的事故增加了。为了防止这些事故的发生,我们开发了使用神经网络的觉醒行为检测系统。本文存在的一个问题是,在临床现场使用捕获图像对当前系统的检测成功率还不够。在临床部位捕获的图像。从直方图分析的结果证明,亮度量的波动使检测能力降低。因此,为了减少亮度量的影响,应该对捕获图像的直方图进行均衡。最后,我们表明直方图均衡化在数值上减少了亮度量的波动。

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