全天候复杂光线条件下的遗留物检测方法

Abandoned object detection method under condition of complex lighting around the clock

为提高全天候复杂光线条件下高清视频监控系统中遗留物检测的实时性、准确性和鲁棒性,提出全天候复杂光线条件下的遗留物实时检测方法。采用快速的混合高斯模型算法对视频图像进行背景建模,分别建立一个长周期背景模型和一个短周期背景模型,通过当前视频帧分别与两个背景模型差分运算,得到长周期前景和短周期前景;对长周期前景和短周期前景进行分析,检测标记出遗留物,进行报警。实验结果表明,该方法能有效检测出复杂光线条件下的遗留物,具有较高的实时性和准确性。

To improve the timeliness,accuracy and robustness of abandoned object detection under the condition of complex lighting around the clock in the HD video surveillance system,an abandoned object detection method under the condition of complex lighting around the clock was presented.Firstly,a fast mixed Gaussian modeling method was adopted,and two background models based on two different update rates were established respectively.The current video frame was subtracted from the two background models,and two foreground models were obtained.Secondly,the abandoned object was detected and marked after analyzing two foreground models.Experimental results show that the proposed method can effectively detect the abandoned object under the condition of complex lighting around the clock,and it has good performance in timeliness and accuracy.