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在智能交通系统高速发展的今天,基于视频序列的交通参数检测系统得到了空前的发展。而这些系统的在软件方面需要借助一些图像处理理论,对交通视频流进行自动处理、识别来达到应用目的。作为许多场合应用的基础,视频序列的背景估计作为一个重要的分支,近年来吸引了大量的学者在该方面展开研究,并取得了很多具有实效的研究成果。本文主要阐述了基于平均法和基于图像分块法的视频序列背景提取方法,具有较强的实用性。
Today, with the rapid development of intelligent transportation system, the traffic parameter detection system based on video sequences has achieved unprecedented development. However, these systems require some image processing theories in software to automatically process traffic video streams and recognize them for application purposes. As the basis for many applications, background estimation of video sequences is an important branch. In recent years, a large number of scholars have been attracted to carry out research in this field and have achieved many fruitful results. This article mainly elaborates the method of video sequence background extraction based on average method and image block method, which has strong practicability.