投影存在下的多视角鲁棒检测方法

2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI:10.1109/ICIG.2011.180

Ming Xu, J. Ren, Dong-xia Chen, Jeremy S. Smith, Zhechi Liu

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引用次数: 0

摘要

本文提出了一种多摄像机目标检测算法，该算法在阴影存在下具有较强的鲁棒性。信息融合是基于前景区域到顶视图图像的单应性映射。单应性是基于平行于地平面的多个平面。提出了两种新的方法来估计这种单应性。在一个开放的视频数据集上展示了结果。

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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A Multiview Approach to Robust Detection in the Presence of Cast Shadows

This paper presents an object detection algorithm using multiple cameras, which is robust in the presence of cast shadows. The information fusion is based on homography mapping of the foreground regions to a top view image. The homography is based on multiple planar planes parallel to the ground plane. Two novel approaches to estimating such homography have been proposed. The results on an open video dataset are demonstrated.

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2011 Sixth International Conference on Image and Graphics

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