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首页> 外文会议>Conference on Airborne Intelligence, Surveillance, Reconnaissance Systems and Applications >Real-time video mosaicking robust to dynamic scenes
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Real-time video mosaicking robust to dynamic scenes

机译：实时视频镶嵌强大的动态场景

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This paper presents a system for creating a mosaic image from a sequence of images with moving objects present in the scene. This system first uses SIFT-based image registration on the entire image to obtain the initial global projection matrix. After image segmentation, the global motion model is applied to each region for evaluation. The transformation matrix is refined for best projection in each region, and a more precise global transformation matrix is calculated based upon local projections on majority of coherent regions. As a consequence this method is robust to disturbances to the projection model induced by moving objects and motion parallax. In the image blending stage, pixels in coherent regions are weighted by their distances from the overlapping edges to achieve a seamless panorama, while heterogeneous regions are cut and pasted to avoid ghosting or blurring. The most recent information regarding location, shape, and size of the moving foreground objects is therefore reflected in the panorama. Constructed mosaics are presented to demonstrate the performance and robustness of the proposed algorithm.
机译：本文提出了一种用于从具有在场景中存在的移动物体的图像序列创建马赛克图像的系统。该系统首先在整个图像上使用基于SIFT的图像配准，以获得初始全局投影矩阵。在图像分割之后，将全局运动模型应用于每个区域进行评估。变换矩阵在每个区域中精制最佳投影，并且基于大多数相干区域的局部投影来计算更精确的全局变换矩阵。结果，该方法对通过移动物体和运动视差引起的投影模型的扰动是鲁棒的。在图像混合阶段中，相干区域中的像素通过与重叠边缘的距离来加权，以实现无缝全景，而异质区域被切割并粘贴以避免重影或模糊。因此，关于移动前景对象的位置，形状和大小的最新信息被反映在全景中。提出了构造的马赛克来展示所提出的算法的性能和鲁棒性。

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