Software video stabilization in a fixed point arithmetic

M. Ondrej, Z. Frantisek, D. Martin
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引用次数: 8

Abstract

This paper discusses a new approach to the stabilization of video sequences. The input of a video stabilization system is a video sequence of relatively static scene, which is ragged due to a mechanical shaking of the camera. This type shaking is often amplified by a camera zoom. Because of this, the video stabilization algorithms are often useful in combination with the security monitoring systems, which often must deal with the zoomed scenes. The video stabilization means a correction of such video sequences, so the stabilized output appears as steady. Our algorithm is based on the fixed-point arithmetic. For this reason it is suitable for use on devices that are not optimized for fixed-point arithmetic, like the DSP architectures and other embedded systems.
软件视频防抖中的一个定点算法
本文讨论了一种视频序列稳定的新方法。视频防抖系统的输入是一个相对静态场景的视频序列,由于摄像机的机械晃动,视频序列变得粗糙。这种类型的震动通常被相机变焦放大。因此,视频稳定算法通常与安防监控系统结合使用,而安防监控系统通常必须处理缩放场景。视频稳定意味着对这些视频序列进行校正,因此稳定的输出看起来是稳定的。我们的算法是基于定点算法的。由于这个原因,它适合用于没有针对定点算法进行优化的设备,如DSP架构和其他嵌入式系统。
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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