| 基于PLA时间序列重现的在线车辆检测算法 |
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| 引用本文： | 柴可夫,霍宏,方涛.基于PLA时间序列重现的在线车辆检测算法[J].计算机工程与应用,2007,43(10):210-213. |
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| 作者姓名： | 柴可夫 霍宏 方涛 |
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| 作者单位： | 上海交通大学图像处理与模式识别研究所,上海200240 |
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| 摘 要： | 文章提出了一种新的用于磁敏传感器的车辆检测算法。算法首先将磁敏数据时间序列经过变长滑动窗口滤波预处理,由PLA抽取平滑后的时间序列特征,用于车辆检测,从而获得相关的交通信息。仿真实验表明,算法有效地减少了慢速行驶的大型车辆对检测结果的影响,保持了较高的准确率。
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| 关 键 词： | 车辆检测 时间序列 分段线性拟合 滑动窗口滤波 |
| 文章编号： | 1002-8331（2007）10-0210-04 |
| 修稿时间： | 2006-08 |
Online vehicle detection algorithm based on PLA time series representation |
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| CHAI Ke-fu,HUO Hong,FANG Tao.Online vehicle detection algorithm based on PLA time series representation[J].Computer Engineering and Applications,2007,43(10):210-213. |
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| Authors: | CHAI Ke-fu HUO Hong FANG Tao |
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| Affiliation: | Institute of Image Processing and Pattern Recognition,Shanghai Jiaotong University,Shanghai 200240,China |
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| Abstract: | A new online vehicle detection algorithm designed for magnetic sensor node is presented.The algorithm smoothes magnetic time series using a variant length sliding-window averaging filter,then a PLA representation scheme is employed to extract the feature,which in turn is passed to a threshold detection module.Offline simulations demonstrate that this approach can greatly reduce the false alarm rate mainly caused by slow long vehicles. |
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| Keywords: | vehiele detection time series piecewise linear approximation sliding-window filtering |
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