Motion Panoramas
Motion Panoramas
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运动全景图
DOI：
10.1002/cav.13
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发表时间：
2004
影响因子：
1.1
通讯作者：
R. Horaud
中科院分区：
文献类型：
--
作者：
A. Bartoli;Navneet Dalal;R. Horaud
在本文中，我们描述了一种方法，用于分析视频序列，并将其表示为马赛克或马赛克。以前的视频拼接工作基本上集中在静态场景。我们概括这些方法的情况下，一个旋转的摄像机观察静态和移动的对象，场景的静态部分不一定占主导地位，因为它在过去经常被假设。我们首先描述了一种鲁棒的技术，用于在未知的摄像机旋转和摄像机设置下准确地对齐大量视频帧。对齐技术将基于特征的方法（初始化和细化）与粗略的运动分割结合起来，然后是基于颜色的直接方法（最终调整）。这种精确的帧到帧对齐允许动态构建背景表示以及有效分割每个图像，使得任意形状和大小的移动区域与静态背景对齐。因此，运动全景以几何一致的方式可视化动态和静态场景元素。广泛的实验应用于存档的田径赛事视频验证的方法。版权所有© 2004年约翰威利父子有限公司。
In this paper we describe a method for analysing video sequences and for representing them as mosaics or panoramas. Previous work on video mosaicking essentially concentrated on static scenes. We generalize these approaches to the case of a rotating camera observing both static and moving objects where the static portions of the scene are not necessarily dominant, as it has been often hypothesized in the past. We start by describing a robust technique for accurately aligning a large number of video frames under unknown camera rotations and camera settings. The alignment technique combines a feature‐based method (initialization and refinement) with rough motion segmentation followed by a colour‐based direct method (final adjustment). This precise frame‐to‐frame alignment allows the dynamic building of a background representation as well as an efficient segmentation of each image such that moving regions of arbitrary shape and size are aligned with the static background. Thus a motion panorama visualizes both dynamic and static scene elements in a geometrically consistent way. Extensive experiments applied to archived videos of track‐and‐field events validate the approach. Copyright © 2004 John Wiley & Sons, Ltd.