Application of polynomial transforms to motion estimation

被引：1

作者：

Silván-Cárdenas, JL ^{[1
]}

Escalante-Ramírez, B ^{[1
]}

机构：

[1] Natl Autonomous Univ Mexico, DEPFI, Fac Engn, Grad Div, Mexico City 04510, DF, Mexico

来源：

MATHEMATICAL MODELING AND ESTIMATION TECHNIQUES IN COMPUTER VISION | 1998年 / 3457卷

关键词：

polynomial transform; Hermite polynomials; Laguerre polynomials; multiresolution; image motion; motion estimation; optical flow; normal flow;

D O I：

10.1117/12.323447

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present in this paper a method to estimate movement in digital video sequences from a 3D representation model based on polynomial transforms. This transform allows to obtain representations of the video sequence at multiple spatiotemporal resolutions. Our approach analyzes the video sequence locally by means of spatiotemporal windows. It allows to recover the true flow in regions free of the aperture problem as well as give an estimate of flip normal component of motion for oriented patterns detected within each window. Different window sizes in space and time are allowed for an efficient analysis of all types of motion.

引用

页码：216 / 227

页数：12