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首页> 外文期刊>BioTechnology: An Indian Journal >The subtraction in the application of taekwondo image information based moving objects detection algorithms
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The subtraction in the application of taekwondo image information based moving objects detection algorithms

机译：减法在基于跆拳道图像信息的运动物体检测算法中的应用

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In the case that the camera is fixed, the most common method which is used in carrying out the real-time detection for the moving object of the image sequence is the background subs traction. This algorithm can be estimated the background model without a moving target. The position of the moving object is determined according to calculating the difference between the image frames and the background model, and the detection result is used to update the background model. In a variety of background subtraction algorithms, themain difference lies in adopting the background model and updating algorithm. At present, as for the background model, the statistical model is mostly used to describe the probability distribution of the brightness, and the most practical application is normal probability distribution. As for the background updating algorithm, the different test detection results is basically given the different coefficients to distinguish tending to retain or change the original distribution.
机译：在固定摄像机的情况下，对图像序列的运动物体进行实时检测的最常用方法是背景减法。该算法可以在没有移动目标的情况下估计背景模型。根据计算出的图像帧与背景模型之间的差异来确定运动物体的位置，并将检测结果用于更新背景模型。在各种背景扣除算法中，主要区别在于采用背景模型和更新算法。目前，对于背景模型，统计模型主要用于描述亮度的概率分布，而最实际的应用是正态概率分布。对于背景更新算法，基本上给不同的测试检测结果以不同的系数，以区分倾向于保留或改变原始分布。

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