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首页> 外文期刊>Journal of Computational Methods in Sciences and Engineering >Research on background segmentation algorithm of moving image in speed skatingvideo
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Research on background segmentation algorithm of moving image in speed skatingvideo

机译：速度滑冰视频中运动图像背景分割算法研究

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The background segmentation of human motion images is the first step in the process of human motion analysis. It is the low-level processing part of human motion analysis. The processing effect at this stage directly affects the progress of the follow-up work. The segmentation results have a great impact on the final human motion analysis results. An important purpose of our research is to endow the computer with the ability being similar to the human vision. So, the computer can feel the motion object in the view and apprehend the behavior of the human more easily. The paper is studied on the representative theories and algorithms of the background subtraction with human motion monocular image. And this paper analyses the predominance and deficiency of these theories and algorithm. These algorithms include differential images, Running Gaussian average, the Mixture of Gaussians and BP neural network. The basic principle and steps of realization are expounded. Also the data of the evaluation is given. Experiment shows that the proposed algorithm of background subtraction is highly effective and it can cast the reflected light, shadow and inverted image well. The algorithm improves the correct rate of target segmentation and is suitable for human motion image segmentation in this complex ice field environment.
机译：人体运动图像的背景分割是人类运动分析过程的第一步。它是人类运动分析的低级处理部分。此阶段的加工效果直接影响后续工作的进度。分割结果对最终的人体运动分析结果产生了很大的影响。我们研究的一个重要目的是赋予计算机的能力与人类视力相似。因此，计算机可以感受到视图中的运动对象并更容易地逮捕人类的行为。本文研究了与人类运动单目一象的背景减法的代表性理论和算法。本文分析了这些理论和算法的优势和缺乏。这些算法包括差分图像，运行高斯平均值，高斯和BP神经网络的混合。实现的基本原理和实现步骤。还给出了评估的数据。实验表明，所提出的背景减法算法非常有效，它可以良好地铸造反射的光，阴影和反相图像。该算法提高了目标分割的正确速率，并且适用于该复合冰场环境中的人类运动图像分段。

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