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A new Algorithm of Background Image Extraction and Update in the Vehicle Detection System

机译:一种新的背景图像提取算法及车辆检测系统的更新

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To improve the rate of vehicle recognition, this article proposed a new improved Surendra background update algorithm, then accomplished the experiment comparison under the different environment with the traditional multi-frame image average background update algorithm. The experimental results indicated that the new improved Surendra background update algorithm has the obvious comprehensive superiority compared to the old algorithm, it can gain the accurate background image, and carry on the background image update effectively, then increases the rate of vehicle recognition.
机译:为了提高车辆识别率,本文提出了一种新的改进的苏伦德拉背景更新算法,然后通过传统的多帧图像平均背景更新算法完成了不同环境下的实验比较。实验结果表明,与旧算法相比,新改进的康宁背景更新算法具有明显的综合优势,可以获得精确的背景图像,并有效地进行背景图像,然后提高车辆识别率。

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