A motion estimation method based on possibility theory

被引：0

作者：

Sojka, Eduard ^{[1
]}

机构：

[1] Tech Univ Ostrava, CR-70833 Ostrava, Czech Republic

来源：

2006 IEEE International Conference on Image Processing, ICIP 2006, Proceedings | 2006年

关键词：

image motion analysis; image sequence analysis;

D O I：

10.1109/ICIP.2006.312550

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we present a new technique for determining the motion field in the image sequences that is based on possibility theory and that provides a good trade-off between the accuracy and speed of computation. We present the theoretical background of the method, the description of the corresponding algorithm, and experimental results. The method may be regarded as accurate and fast at the same time.

引用

页码：1241 / 1244

页数：4

共 17 条

[1] Reliable estimation of dense optical flow fields with large displacements [J].