A novel algorithm for background updating of rail scenery images using SDL method

机译：一种使用SDL方法的轨道风景图像背景更新的新算法

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Video surveillance is an important way to obtain the traffic information in the highway. It also can play an important role in the case of railways. The background updating is a very important part of the detection algorithm in video surveillance. The common background models focus on the distribution of isolated pixels. This paper discusses the concept of status synchronization of the rail scenery images at first and then proposes a novel updating method based on the pixels set in the synchronous detection line (SDL). Finally an experiment is given to test the algorithm. The experiment shows the result what we expected.

机译：视频监控是在高速公路中获取交通信息的重要途径。它还可以在铁路的情况下发挥重要作用。背景更新是视频监控中检测算法的非常重要的部分。常见的背景模型专注于隔离像素的分布。本文首先讨论了轨道风景图像的状态同步的概念，然后提出了一种基于同步检测线（SDL）中的像素的新颖更新方法。最后，给出了一个实验来测试算法。实验表明了我们预期的结果。

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《International Conference on Signal Processing》|2004年||共4页
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Li Han; Liu Ji Lin; Yang Wen Ming; He Zhi Wei;
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中图分类信息处理（信息加工）;
关键词
surveillance; automated highways; synchronisation; rail traffic; video signal processing; video surveillance; highway traffic information; status synchronization; rail scenery images; synchronous detection line; SDL; image processing;

机译：监视;自动化高速公路;同步;轨道交通;视频信号处理;视频监控;公路交通信息;状态同步;铁路风景图像;同步检测线;SDL;图像处理;图像处理;

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4. A novel algorithm for background updating of rail scenery images using SDL method [C] . Li Han, Liu Ji Lin, Yang Wen Ming, . 2004

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A novel algorithm for background updating of rail scenery images using SDL method

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