摘要
该文为了实现对运动目标的检测,重点研究了基于梯度的Horn&Schunck光流算法,然后提出一种高斯金字塔的改进光流法,并结合最大类间方差的图像分割法和形态学滤波中的开、闭运算,完成运动区域的提取。实验仿真结果和数据表明改进的光流算法能准确获取运动目标区域,并更加省时。
In this paper, in order to achieve the detection of moving targets, the optical flow based Horn ＆ Schunck approach is discussed, and the latter proposed an improved algorithm of optical flow which is based on Gaussian pyramid to finish the extraction of moving regions, combining with the OTSU algorithm and the opening operation and closing operation of morphological filtering. The simulation results and experimental data show that the improved algorithm of optical flow can get moving target area precisely and more time-saving.
出处
《计算机与数字工程》
2011年第9期108-110,160,共4页
Computer & Digital Engineering
基金
福建省自然科学基金项目(编号:2009J01287)资助
