摘要
该文给出一种基于二维(2D)时空熵门限进行运动目标检测的方法。研究了几种通用运动目标检测方法的特点,运用2D熵门限分割方法检测运动目标的结构区域,在2D熵门限的基础上,提出了一种快速熵门限求解算法。实验结果表明,这种方法可以很好地检测出运动目标,同时可大大提高运算速度。
A method of moving object detection based on two dimensional(2D) spatio-temporal entropic thresholding is proposed in this paper. The characteristics of several common approaches for moving object detection are analyzed, and 2D entropic thresholding method is used to detect the structural region of the moving object.The 2D thresholding method is first deduced. A fast algorithm for entropic thresholding is put forward.The experimental results show that this method can be used to detect the moving object, and reduce the computational time efficiently.
出处
《电子与信息学报》
EI
CSCD
北大核心
2005年第1期39-42,共4页
Journal of Electronics & Information Technology
基金
国家自然科学基金(60172004)教育部博士点基金(20010701003)资助项目
关键词
运动目标检测
二维熵门限
形态学方法
Moving object detection, 2D entropic thresholding, Morphological method