论文标题
使用移动相机移动对象检测：全面评论
Moving Objects Detection with a Moving Camera: A Comprehensive Review
论文作者
论文摘要
在大约30年的时间里，许多研究团队都在各种挑战性环境中探索移动物体的巨大挑战。最初的应用涉及静态相机，但随着移动相机的研究的兴起，随着时间的流逝，有关移动摄像机的研究已经出现。在这项调查中，我们建议识别和分类文献中发现的不同现有方法。为此，我们建议根据选择场景表示形式对这些方法进行分类：一个平面或几个部分。在这两个类别的内部，这些方法是根据八种不同的方法进行分组的：全景背景减法，双摄像头，运动补偿，子空间分割，运动分割，平面+差异，多平面，多平面和块中的拆分图像。提醒人们静态相机的方法以及静态和移动相机的挑战。本文还调查了公开可用的数据集和评估指标。
During about 30 years, a lot of research teams have worked on the big challenge of detection of moving objects in various challenging environments. First applications concern static cameras but with the rise of the mobile sensors studies on moving cameras have emerged over time. In this survey, we propose to identify and categorize the different existing methods found in the literature. For this purpose, we propose to classify these methods according to the choose of the scene representation: one plane or several parts. Inside these two categories, the methods are grouped according to eight different approaches: panoramic background subtraction, dual cameras, motion compensation, subspace segmentation, motion segmentation, plane+parallax, multi planes and split image in blocks. A reminder of methods for static cameras is provided as well as the challenges with both static and moving cameras. Publicly available datasets and evaluation metrics are also surveyed in this paper.
