基于帧间差分和背景相减的运动目标检测和提取算法研究

对比分析了常用的图像目标检测算法，根据其各自优缺点，提出了基于帧间差分和背景相减相结合的运动目标检测和提取算法。详细介绍了基于上述算法的运动目标检测的全过程，并准确地检测出了运动目标。通过对实验结果进行分析表明，该算法既避免了背景相减法因背景变动导致的目标提取不准确，又避免了帧间差分法的运动目标不完整，能够有效去除噪声和阴影，具有良好的检测效果。

A study on moving target detection and extraction algorithm based on frame differencing and background subtraction

This paper makes a comparative analysis to the normally used moving targets detect algorithm . According to their advantages and disadvantages ,a moving target detection and extraction algorithm based on frame differencing and background subtraction is presented .It detailedly introduces the whole process of moving target detection based on the above algorithm ,and detects the moving target in high accuracy . The experimental results show that the algorithm can not only avoid the inaccuracy of target extraction caused by the variation of the background ,but also avoid the disintegration of the moving target caused by frame differencing .It can eliminate the noise and shadow and show great effectiveness in target detection .