Havasi László, Szlávik Zoltán, Szirányi Tamás
IEEE Trans Image Process. 2009 Jun;18(6):1366-72. doi: 10.1109/TIP.2009.2017137. Epub 2009 Apr 10.
Extraction of foreground is a basic task in surveillance video analysis. In most real cases, its performance is heavily based on the efficiency of shadow detection and on the analysis of lighting conditions and reflections caused by mirrors or other reflective surfaces. This correspondence is focused on the improvement of foreground extraction in the case of planar reflective surfaces. We show that the geometric model of a scene with a planar reflective surface is reduced to the estimation of vanishing-point for the case of an auto-epipolar (skew-symmetric) fundamental matrix. The correspondences for the vanishing-point estimation are extracted from motion statistics. The knowledge of the position of the vanishing point allows us to integrate the geometric model and the motion statistics into image foreground-extraction to separate foreground from reflections, and thus to achieve better performance. The experiments confirm the accuracy of the vanishing point and the improvement of the foreground image mask by removing reflected object parts.
前景提取是监控视频分析中的一项基本任务。在大多数实际情况下，其性能很大程度上取决于阴影检测的效率以及对光照条件和由镜子或其他反射表面引起的反射的分析。本文着重于改进平面反射表面情况下的前景提取。我们表明，对于自对极（斜对称）基本矩阵的情况，具有平面反射表面的场景的几何模型简化为灭点估计。从运动统计中提取灭点估计的对应关系。灭点位置的知识使我们能够将几何模型和运动统计集成到图像前景提取中，以将前景与反射分离，从而实现更好的性能。实验证实了灭点的准确性以及通过去除反射物体部分对前景图像掩码的改进。
