一种增强的光自适应动态背景重建算法

Shuan Liu, N. Hao
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引用次数: 0

摘要

光强的缓慢变化将记录在图像上。序列图像样本的选取时机和背景的重建方法对动态背景重建的精度有非常重要的影响。随着城市道路交叉口交通信息的日益复杂,现有的背景重建算法存在一定的不足。提出了一种增强光适应能力的动态背景重建算法。它有效地减少了由于光强变化缓慢而导致的背景重建误差。实验结果表明,该算法简单、实时性强、可靠,具有较强的实用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An enhanced light adaptability algorithm on dynamic background reconstruction
Slow change in light intensity will record on the image. The selection timing on sequence image samples and the method that how to reconstruct the background have very important impacts on the accuracy of dynamic background reconstruction. As more complexity of urban road junction traffic information, the existing background reconstruction algorithms have some shortcomings. We present a dynamic background reconstruction algorithm on enhanced light adaptability. It effectively reduces background reconstruction errors caused by the slow change of light intensity. Experimental results show the algorithm is simple, real strong, and reliable, have strong practical value.
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