Video Tracking: A Concise Survey
Video Tracking: A Concise Survey
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DOI：
10.1109/joe.2004.839933
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发表时间：
2006-10
影响因子：
4.1
通讯作者：
Emanuele Trucco;Konstantinos Plakas
中科院分区：
文献类型：
--
作者：
Emanuele Trucco;Konstantinos Plakas
本文解决了视频跟踪，即在视频序列上自动跟踪移动目标的问题，并提出了三个主要贡献。首先，我们简要介绍计算机视觉中的视频跟踪，包括设计要求和对最新技术的回顾，以及所选算法的一些细节。其次，我们概述了最近 28 篇关于海底视频跟踪和相关运动分析问题的论文，可以说捕捉到了海底视频跟踪的最新技术。我们在比较、一目了然的表格中总结了主要特征，并与计算机视觉领域的最新技术进行了比较，讨论了这项工作。第三，我们确定了海底研究界尚未接受的经过充分验证的计算机视觉技术，为海底视频处理界提出了有用的研究方向
This paper addresses video tracking, the problem of following moving targets automatically over a video sequence, and brings three main contributions. First, we give a concise introduction to video tracking in computer vision, including design requirements and a review of recent techniques, with some details of selected algorithms. Second, we give an overview of 28 recent papers on subsea video tracking and related motion analysis problems, arguably capturing the state-of-the-art of subsea video tracking. We summarize key features in a comparative, at-a-glance table, and discuss this work in comparison to the state-of-the-art in computer vision. Third, we identify well-proven computer vision techniques not yet embraced by the subsea research community, suggesting useful research directions for the subsea video processing community