基于类比CNN算法的面向对象图像分析。1 .运动估计

Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications Pub Date : 2002-07-22 DOI:10.1109/CNNA.2002.1035050

G. Grassi, L.A. Grieco

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引用次数: 14

摘要

在面向对象编码方案的背景下，图像分析算法是非常有趣的。本文阐述了一种新的用于获得运动估计的模拟CNN算法，而同伴论文(Grassi和Grieco, 2002)则侧重于面向对象图像分析阶段的其余步骤。对美国小姐和克莱尔的视频序列进行的仿真结果证实了本文所开发方法的有效性。

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Object-oriented image analysis via analogic CNN algorithms. I. Motion estimation

Image analysis algorithms are of great interest in the context of object-oriented coding schemes. In this paper a new analogic CNN algorithm for obtaining the motion estimation is illustrated, whereas the companion paper (Grassi and Grieco, 2002) focuses on the remaining steps of the object-oriented image analysis stage. Simulation results, carried out for Miss America and Claire video sequences, confirm the validity of the approach developed herein.

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Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications

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