Neuronal approach for motion estimation in frequency domain

被引：0
|
作者：
Ghoul, Khalid [1 ]
Berkane, Mohamed [1 ]
Batouche, Mohamed C. [2 ]
机构：
[1] Larbi Ben Mhidi Univ, Oum El Bouaghi, Algeria
[2] Constantine 2 Univ, Constantine, Algeria
来源：
2014 INTERNATIONAL CONFERENCE ON MULTIMEDIA COMPUTING AND SYSTEMS (ICMCS) | 2014年
关键词：
Motion estimation; optical flow; frequency-based approach; MENA approach; neural network; OPTICAL-FLOW;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The analysis of motion in image sequences is a field of research still open. The development of new methods is guided by two objectives: the first is to improve the results obtained from the qualitative point of view; the second goal is to minimize the calculation time to meet the real-time applications. Our work is based on the application of neuronal motion estimation approach called MENA in the frequency domain. This choice is guided primarily by the qualitative results of this method and also by the strength of the frequency representation of the processed data. This view allows us also to generalize the MENA method that can benefit from the contributions of the different approaches to motion estimation.
引用
收藏
页码：241 / 245
页数：5
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