摘要
本文介绍了两种常用的运动目标检测算法帧间差分法和背景差分法,对帧间差分法中的两帧差分和对称差分进行了仿真分析;在背景差分中,对两种背景提取算法多帧图像平均法及连续帧差法进行了仿真分析比较。并且在运动目标检测二值化的过程中,提出运用最大熵阈值分割,由此提高了运动目标检测的效果。
This paper introduces two algorithms for moving object detection in common： inter-frame difference method and back- ground difference method. In inter-frame difference method, two successive frames difference and symmetric difference are simulated and analyzed; as to background difference, two background extraction algorithm multi-frame images average method and consecutive frame difference method are simulated and analyzed. In the binaryzation process of moving object detection, the article propose to apply the maximum entropy threshold segmentation, and the effect of moving target detection can be improved.
出处
《微计算机信息》
2010年第16期147-149,共3页
Control & Automation
关键词
运动目标检测
背景差分法
帧间差分法
最大熵
moving object detection
background difference method
inter-frame difference method
maximum entropy
