基于2D时空熵门限的运动目标检测

The Moving Object Detection Based on 2D Spatio-temporal Entropic Thresholding

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.