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Adaptive fast Gaussian background subtraction algorithm

机译:自适应快速高斯背景减法算法

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This paper starts from the background subtraction algorithm, focusing on discussing Gaussian mixture model for background subtraction algorithm. Gaussian mixture model for background subtraction method, under the conditions of ordinary PC computing power, the speed is still slow for the real-time system. Order to solve the problem of detecting speed, an improved target detection algorithm-adaptive fast Gaussian background subtraction algorithm comes into being. The speed of this algorithm compared to the classic Gaussian mixture background subtraction algorithm is faster, with better performing in real-time system, higher detection rate, lower false detection rate, better inhibition ability of noise.
机译:本文从背景减法算法开始,重点讨论背景减法算法的高斯混合模型。高斯混合模型用于背景减法,在普通PC计算能力的条件下,实时系统的速度仍然很慢。为了解决检测速度的问题,出现了一种改进的目标检测算法-自适应快速高斯背景减法算法。与经典的高斯混合背景扣除算法相比,该算法速度更快,实时系统性能更好,检测率更高,误检率更低,噪声抑制能力更好。

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