Enhanced motion parameters estimation for an active vision system

被引：2
|
作者：
Shafik M. [1 ]
Mertsching B. [1 ]
机构：
[1] GET Lab., Paderborn University, Paderborn 33098
来源：
Pattern Recogn. Image Anal. | 2008年 / 3卷 / 370-375期
关键词：
Root Mean Square Error; Motion Vector; Motion Parameter; Segmentation Process; Motion Vector Field;
D O I：
10.1134/S1054661808030024
中图分类号：
学科分类号：
摘要：
In this paper, we present an enhanced approach for estimating 3D motion parameters from 2D motion vector fields. The proposed method achieves valuable reduction in computational time and shows high robustness against noise in the input data. The output of the algorithm is part in a multiobject segmentation approach implemented in an active vision system. Hence, the improvement in the motion parameters estimation process leads to speed-up in the overall segmentation process. © 2008 Pleiades Publishing, Ltd.
引用
收藏
页码：370 / 375
页数：5
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