Foveated active tracking with redundant 2D motion parameters
Foveated active tracking with redundant 2D motion parameters
复制标题
具有冗余 2D 运动参数的注视点主动跟踪
DOI：
10.1016/s0921-8890(02)00205-1
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发表时间：
2002
期刊：
影响因子：
--
通讯作者：
G. Sandini
中科院分区：
文献类型：
--
作者：
Alexandre Bernardino;J. Santos;G. Sandini
本文提出了一种基于二维几何变形模型的对数极图像运动估计的实时主动视觉跟踪系统。我们提出了一种非常有效的参数运动估计方法，其中大部分计算可以离线完成。提出了几何变形的冗余参数化方法，提高了算法的收敛范围。注视点图像表示提供了额外的计算节省和衰减背景效果。运动模型的适当选择和迭代的分层组织提供了额外的鲁棒性。我们提出了一个完全集成的系统，具有实时性和鲁棒性，以适度偏离假设的变形模型。
This work presents a real-time active vision tracking system based on log-polar image motion estimation with 2D geometric deformation models. We present a very efficient parametric motion estimation method, where most computation can be done offline. We propose a redundant parameterization for the geometric deformations, which improve the convergence range of the algorithm. A foveated image representation provides extra computational savings and attenuation of background effects. A proper choice of motion models and a hierarchical organization of the iterations provide additional robustness. We present a fully integrated system with real-time performance and robustness to moderate deviations from the assumed deformation models.