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在视频异常检测中无监督条件扩散模型用于监测尘埃污染

Limin Cai1, Mofei Li2, Dianpeng Wang1

  • 1School of Mathematics and Statistics, Beijing Institute of Technology, Beijing 100081, China.

Sensors (Basel, Switzerland)
|March 13, 2024
PubMed
概括

本研究引入了一种无监督潜伏扩散模型,用于高效的环境尘埃污染视频监控. 新方法在具有挑战性的场景中提高了异常检测的准确性,超过了当前最先进的技术.

关键词:
条件扩散模型的条件扩散模型尘埃污染 污染 尘埃污染潜在的压缩压缩.视频异常检测 检测异常

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Linear Approximations01:23

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For a differentiable function of two variables, linear approximation estimates values near a known point by replacing the curved surface with its tangent plane. Consider the function\begin{equation*}f(x,y)=x^2+3y^2\end{equation*}near the point (2, 1). The exact value at this point is f(2, 1) = 22 + 3(1)2 = 4 + 3 = 7.The linear approximation of f(x, y)) near (a, b) is\begin{equation*}L(x,y)=f(a,b)+f_x(a,b)(x-a)+f_y(a,b)(y-b)\end{equation*}First, compute the partial derivatives: fx(x, y) = 2x and...