Video frame segmentation by using newton's law of gravity

A. Ghasemi, C. R. Ravi Kumar
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引用次数: 1

Abstract

In this paper, a novel video frame segmentation algorithm based on Newton's law of gravity is presented, which is called as Object feature based Gravitational Video Segmentation Algorithm (OGVSA).The proposed OGVSA uses spatial information, color and texture information of video frame to partition the object in video frame into homogenous and semi-compact segments. We introduce new operator called “escape” such that it is the concept of escape velocity in physics and moreover the proposed algorithm has the ability to search the object for finding the best regions that are suitable for that object. Experiments on standard dataset as well as SIVA reported show that OGVSA outperforms the reported algorithms.
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基于牛顿引力定律的视频帧分割
本文提出了一种基于牛顿引力定律的视频帧分割算法,称为基于目标特征的引力视频分割算法(OGVSA)。本文提出的OGVSA利用视频帧的空间信息、颜色信息和纹理信息,将视频帧中的对象划分为同质段和半紧凑段。我们引入了新的“逃逸”算子,这是物理学中逃逸速度的概念,并且我们提出的算法具有搜索物体的能力,以找到最适合该物体的区域。在标准数据集和报告的SIVA上的实验表明,OGVSA优于报告的算法。
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