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基于iBAT和DTW算法的异常轨迹检测 被引量：4

Anomalous trajectory detection based on iBAT and dynamic time warping algorithm
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摘要 首先使用iBAT算法进行轨迹异常检测,然后结合DTW算法进行相似性度量,进一步区分轨迹。 Anomalous trajectory is detected with iBAT algorithm first, and the DTW(dynamic time warping) algorithm is used to measure the similarity for further trajectory distinction.
作者 逄焕利 李红岩 PANG Huanli;LI Hongyan(School of Computer Science and Engineering, Changchun University of Technology, Changchun 130012, China)
机构地区 长春工业大学计算机科学与工程学院
出处 《长春工业大学学报》 CAS 2019年第2期156-162,共7页 Journal of Changchun University of Technology
关键词 异常轨迹 动态时间规整 相似性度量 anomalous trajectory dynamic time warping similarity measurement
分类号 TP391 [自动化与计算机技术—计算机应用技术]
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共引文献83

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二级引证文献10

长春工业大学学报
2019年 第2期

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