关键词: 人体运动检测, 正交高斯Hemite矩, 时间差分法, 背景减除法, 光流法

Abstract:

In order to improve the effect of the Moving human detection in computer vision, this paper used the OGHMs method. In the implementation process, we have simplified OGHMs（Orthogonal Gaussian-Hermite Moments）,used the Gaussian smoothing to the movement image, and added an erode algorithm to get more accurate results. Simultaneously several methods used in moving human detection are analyzed, such as temporal difference, background subtraction and optical flow. The experimental result indicated that the OGHMs which is added erode process has some advantage of common algorithms, and has strong anti-jamming capability. This algorithm has better solved the problem of large quantity of calculaion, it is not necessary to carry on the process of background rebuilding and updating. The detection result of this algorithm contains more movement information, it can finish the moving human detection more integrallty and accurately.

Key words: moving human detection, Orthogonal Gaussian-Hermite Moments(OGHMs), temporal difference, background subtraction, optical flow