Motion Segmentation using Mathematical Morphology

A. C. Lara, R. Hirata
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引用次数: 4

Abstract

Motion segmentation is one of the first steps in image sequence applications. The problem has been extensively studied and approached in several ways but it remains a difficult task even for sequences acquired by stationary cameras. In this paper we propose a novel algorithm that is based on mathematical morphology. The algorithm is simple to be implemented, less subject to lighting changes and more robust to false positives. It has been tested in security cameras' image sequences showing promising results. Some algorithms from literature have been implemented and compared to the one described here
基于数学形态学的运动分割
运动分割是图像序列应用的第一步。这个问题已经被广泛地研究和探讨了几种方法,但它仍然是一个艰巨的任务,即使是固定相机获得的序列。本文提出了一种基于数学形态学的新算法。该算法实现简单,不受光照变化的影响,对误报的鲁棒性更强。它已经在安全摄像头的图像序列中进行了测试,显示出令人鼓舞的结果。文献中的一些算法已经实现,并与这里描述的算法进行了比较
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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