为了克服多重相关性对模型的干扰，本文引入了能辨别系统信息与噪声的偏最小二乘回归，并提出了一种基于偏最小二乘回归原理的土石坝渗流监控模型。
To avoid multicollinearity's disturbance, partial least-squares regression which can identify system information and noise is introduced to model, and a novel seepage monitoring model is introduced.
由于外界环境的复杂性，视频监控中检测出的运动目标往往轮廓缺损，并伴随阴影和噪声等问题。
Due to the complexity of the external environment, moving target detected in video surveillance always possessed contour defects, as well as shadow and noise problems.
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