摘要
为了提高车辆检测系统的车辆识别率，本文提出一种改进的Surendra背景更新算法，并在不同的环境下与系统原来使用的多帧图像平均背景更新算法进行实验比较。实验结果表明，新改进的Surendra背景更新算法比老算法有较明显的综合优势，能够荻取准确的背景，并可有效地进行背景更新，从而提高车辆识别率。
In order to improve the rate of vehicle recognition, this article proposes a new improved Surendra background update al- gorithm, and carries on the experiment comparison under the different environment with the traditional muhi-frame image average background update algorithm. The experimental results indicate that the new improved Surendra background update algorithm has the obvious comprehensive superiority comparing to the old algorithm, it can gain the accurate background, and carry on the background update effectively, then increases the rate of vehicle recognition.
出处
《计算机与现代化》
2010年第7期111-114,共4页
Computer and Modernization
关键词
背景提取
背景更新
车辆检测
车辆识别
background extraction
background update
vehicle detection
vehicle recognition
