摘要
通过对视频中运动目标特点的分析,提出了一种提取背景图像的算法。使用运动点积累的方法来更新背景图像,然后应用背景差分准确检测出场景中的运动目标。由于视觉的相似性,使得检测出的目标包含阴影,最后使用阴影滤波函数去除阴影,得到完整的运动物体。实验结果表明,本算法具有较好的实时性和适应性,能检测出比较完整的运动目标信息。
Through the analysis on the characteristics of the moving objects in video sequence, a method to acquire background was proposed. Moving point accumulation was applied to extract the background, and then background subtraction was employed to detect moving objects. Because of visual comparability, the result included shadow. Shadow filter function was used to remove the shadow to get the completely moving objects. Experimental results show that the algorithm is efficient, adaptive, and establishes a foundation for advanced image processing.
出处
《计算机应用》
CSCD
北大核心
2008年第12期3154-3156,共3页
journal of Computer Applications
关键词
背景提取
运动点积累
背景差分
运动目标检测
阴影检测
background extraction
moving point accumulation
background subtraction
moving objects detection
shadow detection
