Illumination-invariant change detection

D. Toth, T. Aach, V. Metzler
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引用次数: 109

Abstract

Moving objects in image sequences acquired by a static camera can be detected by analyzing the grey-level difference between successive frames. Direct motion detection, however, will also detect fast variations of scene illumination. This paper describes a method for motion detection that is considerably less sensitive to time-varying illumination. It is based on combining a motion detection algorithm with an homomorphic filter which effectively suppresses variable scene illumination. To this end, the acquired image sequence is modelled as being generated by an illumination and a reflectance component that are approximately separated by the filter. Detection of changes in the reflectance component is directly related to scene changes, i.e., object motion. Real video data are used to illustrate the system's performance.
光照不变变化检测
静态摄像机通过分析连续帧之间的灰度差来检测图像序列中的运动目标。然而,直接运动检测也将检测场景照明的快速变化。本文描述了一种对时变照明相当不敏感的运动检测方法。该算法将运动检测算法与同态滤波器相结合,有效地抑制了场景光照的变化。为此,将所获取的图像序列建模为由由滤波器近似分离的照明分量和反射分量生成。反射率分量变化的检测直接关系到场景的变化,即物体的运动。用真实的视频数据来说明系统的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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