| 基于中值背景模型的运动目标自适应检测方法 |
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| 引用本文： | 陈敬来.基于中值背景模型的运动目标自适应检测方法[J].科技广场,2011(5):38-41. |
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| 作者姓名： | 陈敬来 |
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| 作者单位： | 沈阳利源恒智能系统工程有限公司,辽宁沈阳,110003 |
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| 摘 要： | 针对复杂交通场景中运动车辆检测方法存在的局限性,本文提出了一种基于中值模型和自适应阈值的运动检测算法。利用自适应阈值对差分图像的三个颜色通道进行二值化处理,实现了运动目标的精确检测,采用中值更新策略实现背景图像的实时更新。实验结果表明,算法可以从复杂交通场景图像序列中有效地检测出运动目标,且算法计算量小,具有良好的鲁棒性与实时性。
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| 关 键 词： | 车辆 运动目标 检测 自适应阈值 |
Adaptive Motion Detection Based on Median Background Model |
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| Chen Jinglai.Adaptive Motion Detection Based on Median Background Model[J].Science Mosaic,2011(5):38-41. |
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| Authors: | Chen Jinglai |
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| Institution: | Chen Jinglai(Shenyang Liyuanheng Intelligent System Engineering Co.,LTD,Liaoning Shengyang 110003) |
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| Abstract: | In order to improve the performance of motion vehicle detection in complicated traffic situations,this thesis puts forward an algorithm for motion detection based on median background model and adaptive threshold value.Three color channels of difference image binarized by adaptive threshold can accurately realize the detection of moving objects.Median update strategy can make real-time background update come true.Experiment results show that this algorithm can effectively detect moving objects in complicate... |
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| Keywords: | Vehicles Moving Objects Detection Adaptive Threshold Value |
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