【作者】 傅瑜；

【导师】 蔡利栋；

【作者基本信息】 暨南大学 ， 计算机软件与理论， 2003， 硕士

【摘要】 本文主要讨论运动距离自动检测的问题。要自动地、准确地检测出运动距离，能否检测出真实的运动即成为一个关键的问题。图象的变化通常是多种因素综合作用的结果，显而易见，消除运动以外的其它因素(如光照，噪声等)引起的变化就成为必不可少的一步。本文给出的方法以散射图去除光照影响和静止背景，用噪声的中位数直接估计其方差，从而去除噪声，检测出由运动引起的变动，最后自动检测运动距离。更多还原

【Abstract】 This thesis makes a discussion on auto-detection of motion displacement. Change detection thus becomes the key issue. Conventional simple image subtraction detects all difference regardless of their source and is problematic to use. So, it is necessary to isolate the local difference due to the motion from the global difference due to the illumination variations. Scattergram is used to resolve this problem. Then the noise is removed by means of the variance that is estimated directly from the median of the noise. Finally, an auto-detection is made for the motion displacement from the difference image undergone the above pre-processings.更多还原