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Gas leak detection in Infrared video with Background Modeling

机译:具有背景建模功能的红外视频中的气体泄漏检测

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Background modeling plays an important role in the task of gas detection based on infrared video. VIBE algorithm is a widely used background modeling algorithm in recent years. However.the processing speed of the VIBE algorithm sometimes cannot meet the requirements of some real time detection applications.Therefore. based on the traditional VIBE algorithm, we propose a fast prospect model and optimize the results by combining the connected domain algorithm and the nine-spaces algorithm in the following processing steps. Experiments show the effectiveness of the proposed method.
机译:背景建模在基于红外视频的气体检测任务中起着重要作用。 VIBE算法是近年来广泛使用的背景建模算法。但是,VIBE算法的处理速度有时不能满足某些实时检测应用程序的要求。在传统的VIBE算法的基础上,我们提出了一种快速的前景模型,并在以下处理步骤中结合了连通域算法和九空间算法对结果进行了优化。实验证明了该方法的有效性。

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