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发明公开
CN107273866A 一种基于监控系统的人体异常行为识别方法 无效 - 驳回

一种基于监控系统的人体异常行为识别方法
摘要：
本发明公开了一种基于监控系统的人体异常行为识别方法，包括以下步骤：(1)样本图像输入；(2)前景提取；(3)背景更新；(4)前景图像的去噪处理；(5)运动目标跟踪记录：通过Mean-Shift目标跟踪算法对去噪后的前景图像进行跟踪，并记录运动目标的运动信息；(6)行为特征的提取：根据步骤(5)中记录的运动目标的运动信息，利用背景差分法提取运动目标的运动区域，再根据运动目标的运动行为选取具有特征的前景图像；(7)建立标准行为数据库；(8)结果分析与异常判定；(9)异常报警。本发明具有能够改善前景图像清晰度以及提高异常行为判断精准度的特点。
摘要（英）：

The invention discloses a human body abnormal behavior identification method based on a monitoring system; the method comprises the following steps: 1, sample image input; 2, foreground extraction; 3, background updating; 4, foreground image denoising process; 5, motion target tracking and recording: using a Mean-Shift target tracking algorithm to track the foreground image after denoising, and recording the motion information of the motion target; 6, behavior feature extraction: using a background differencing method to extract a motion area of the motion target according to the motion target motion information recorded in step5, and selecting a foreground image with features according to the motion target motion behaviors; 7, building a standard behavior database; 8, result analysis and abnormity determinations; 9, abnormity alarming. The method can improve the foreground image clearness, and can improve the abnormity behavior determination accuracy.

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