针对实际道路环境中提取和检测运动目标问题,分析总结目前主要检测算法的优缺点,提出一种通过提取车辆出入口、道路间距等先验知识,利用实际道路图像快速进行运动目标检测的方法。实验结果表明,对于摄像机位置固定且背景扰动不大的情况,用自适应中值滤波和多帧均值滤波能够很好实现背景搭建和背景重建,降低运算复杂度且计算量小。
Abstract
Aiming at the problem of extracting and detecting movingobjections in the actual road environment, analyzes and summarizes the advantages and disadvantages of the current main detection algorithms, and proposes a method for quickly detecting moving targets by extracting the prior knowledge of vehicle entrances and exits, road spacing and so on. The experimental results show that for the case where the camera position is fixed and the background disturbance is not large, the background media construction and background reconstruction can be well realized by adaptive median filtering and multi-frame mean filtering, which reduces the computational complexity and the calculation amount is small.
关键词
计量学 /
运动目标检测 /
背景减除法 /
自适应中值滤波 /
多帧均值滤波
Key words
metrology /
moving object detection /
background subtraction method /
adaptive median filtering /
multiframe median filtering
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参考文献
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