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Specific Features of Operation of Fallen Person Detection Algorithms Based on a Sequence of Scene Images

机译:基于场景图像序列的跌倒者检测算法运算的特定特征

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摘要

Specific features of operation of fallen person detection algorithms having a moderate computational complexity and based on a sequence of images obtained by stationary video surveillance cameras are analyzed. Approaches to enhancing the algorithm operation stability are proposed. One variant of obtaining a more reliable silhouette of the object is considered; parameters used in recognition of the object states are analyzed and selected. A method of increasing the detector stability is proposed. This method is based on identifying intervals of stability of the average values of parameters, which allows reliability of detection of the object states to be improved. Results of computational experiments are presented.
机译:分析了具有中等计算复杂度并基于固定视频监控摄像机获得的图像序列的跌倒人检测算法的操作的特定特征。提出了提高算法运行稳定性的方法。考虑了获得物体的更可靠轮廓的一种变型;分析和选择用于识别对象状态的参数。提出了一种提高探测器稳定性的方法。该方法基于识别参数平均值的稳定性的间隔,这使得可以提高物体状态的检测的可靠性。给出了计算实验的结果。

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