An Online Vehicle Detection Algorithm Based on PLA Time Series Representation

Computer Engineering and Applications ›› 2007, Vol. 43 ›› Issue (10): 210-213.

• 工程与应用 • Previous Articles Next Articles

An Online Vehicle Detection Algorithm Based on PLA Time Series Representation

Kov Chai

Received:2006-04-20 Revised:1900-01-01 Online:2007-04-01 Published:2007-04-01
Contact: Kov Chai

基于PLA时间序列重现的在线车辆检测算法

柴可夫霍宏方涛

上海交通大学电子信息与电气工程学院图像处理与模式识别研究所上海交通大学自动化系模式识别专业上海交通大学自动化系模式识别专业

通讯作者: 柴可夫

Abstract

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.

Key words: vehicle detection, time series, piecewise linear approximation, sliding-window filtering

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。

关键词: 车辆检测, 时间序列, 分段线性拟合, 滑动窗口滤波

Kov Chai. An Online Vehicle Detection Algorithm Based on PLA Time Series Representation[J]. Computer Engineering and Applications, 2007, 43(10): 210-213.

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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An Online Vehicle Detection Algorithm Based on PLA Time Series Representation

基于PLA时间序列重现的在线车辆检测算法

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