.png){kind=icon}
返回
Motion tracking as a constrained optimization problem
.png){kind=icon}
PRE
AI
DOI：10.1016/S0031-3203(03)00037-2.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this paper we pose the problem of tracking of a varying number of points through an image sequence as a multi-objective optimization problem with additional hard constraints. One of the objectives is to find smooth tracks based on second-order motion characteristics optimized over several frames. The corresponding optimization algorithm we present is a sequential heuristic search algorithm that adequately prunes the search tree in such a way that its exponential order remains low. When the algorithm is compared to other tracking algorithms, it turns out that the proposed algorithm is easier to tune and generally more efficient and more accurate. (C) 2003 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
Keyword:
feature-point tracking
motion tracking
multi-target tracking
motion correspondence
multi-frame optimization
multi-objective optimization
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.6
论文数:
1.3W
被引数:
4.5W
机构
暂无机构信息
引用论文
.png){kind=icon}
分享收藏
分享收藏
查看更多内容