Fast motion estimation using spatio temporal filtering

被引：0
|
作者：
Bruni, V. [1 ]
De Canditiis, D. [1 ]
Vitulano, D. [1 ]
机构：
[1] CNR, Ist Applicaz Calcolo M Picone, I-00161 Rome, Italy
来源：
IMAGE ANALYSIS AND RECOGNITION, PT 1 | 2006年 / 4141卷
关键词：
D O I：
暂无
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 a fast algorithm for motion estimation is presented. It models the temporal averaging of a group of frames as the spatial filtering of the reference one with a suitable Dirac comb function. This equality allows us to estimate a constant affine motion by comparing the phases of the FFT. Experimental results show that the proposed algorithm outperforms the available fast motion estimation techniques in terms of both quality and computational effort.
引用
收藏
页码：755 / 766
页数：12
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