摘要
针对运动背景下运动目标分割定位困难的问题,提出了融合背景补偿与均值漂移的运动背景下目标分割定位算法。该算法首先在运动背景补偿的基础上,利用帧间差分法得到差分图像。其次,对差分图像中非零像素点建立多特征描述子,运用均值漂移算法对其进行聚类。最后,利用均值聚类得到的非零像素点来对运动目标进行分割定位。实验结果充分表明,该算法可以比较精确地进行运动背景下移动目标的分割定位。
In order to solve the problem of segmentation and location of moving object in moving scenes, an algorithm of segmentation and location of moving object in moving scenes with the fusion of background compensation and mean shift is proposed. Firstly, frame-difference method is used to get difference image based on moving scenes compensation. Then, multiple feature descriptors of nonzero pixels in difference image are established and mean shift algorithm is adopted to deal with the nonzero pixels. Lastly, segmentation and location of moving object is done with the nonzero pixels gotten from mean shift clustering. The results indicate that this method can realize moving object detection accurately.
出处
《光电工程》
CAS
CSCD
北大核心
2013年第10期35-41,共7页
Opto-Electronic Engineering
基金
总装院校创新基金项目
关键词
运动背景
目标分割定位
背景补偿
均值漂移
moving scenes
segmentation and location of object
background compensation
mean shift
