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AN IMPROVED METHOD OF TARGET DETECTION BASED ON GAUSSIAN MIXTURE MODEL AND AVERAGE BACKGROUND METHOD

机译:基于高斯混合模型和平均背景法的目标检测方法改进方法

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Based on the study of the existing target detection algorithms, this paper does more research on Gaussian Mixture Model and Average Background Method, and proposes an improved method based on the combination of them, then realizes the algorithm by using OpenCV and VS2008. According to the experimental results, this method can detect the target of the video sequence in a complex environment accurately and has high ability to suppress noise interference.
机译:基于对现有目标检测算法的研究,本文对高斯混合模型和平均背景方法进行了更多研究,并提出了一种基于它们的组合的改进方法,然后使用OpenCV和VS2008实现算法。根据实验结果,该方法可以精确地检测复杂环境中的视频序列的目标,并具有高能力抑制噪声干扰。

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