一级黄色片免费播放|中国黄色视频播放片|日本三级a|可以直接考播黄片影视免费一级毛片

高級(jí)搜索

留言板

尊敬的讀者、作者、審稿人, 關(guān)于本刊的投稿、審稿、編輯和出版的任何問(wèn)題, 您可以本頁(yè)添加留言。我們將盡快給您答復(fù)。謝謝您的支持!

姓名
郵箱
手機(jī)號(hào)碼
標(biāo)題
留言?xún)?nèi)容
驗(yàn)證碼

經(jīng)典軌跡的魯棒相似度量算法

王前東

王前東. 經(jīng)典軌跡的魯棒相似度量算法[J]. 電子與信息學(xué)報(bào), 2020, 42(8): 1999-2005. doi: 10.11999/JEIT190550
引用本文: 王前東. 經(jīng)典軌跡的魯棒相似度量算法[J]. 電子與信息學(xué)報(bào), 2020, 42(8): 1999-2005. doi: 10.11999/JEIT190550
Qiandong WANG. A Robust Trajectory Similarity Measure Method for Classical Trajectory[J]. Journal of Electronics & Information Technology, 2020, 42(8): 1999-2005. doi: 10.11999/JEIT190550
Citation: Qiandong WANG. A Robust Trajectory Similarity Measure Method for Classical Trajectory[J]. Journal of Electronics & Information Technology, 2020, 42(8): 1999-2005. doi: 10.11999/JEIT190550

經(jīng)典軌跡的魯棒相似度量算法

doi: 10.11999/JEIT190550 cstr: 32379.14.JEIT190550
詳細(xì)信息
    作者簡(jiǎn)介:

    王前東:男,1977年生,高級(jí)工程師,研究方向?yàn)閿?shù)據(jù)信息處理及應(yīng)用

    通訊作者:

    王前東 wangqiandong@sohu.com

  • 中圖分類(lèi)號(hào): TP301

A Robust Trajectory Similarity Measure Method for Classical Trajectory

  • 摘要:

    針對(duì)經(jīng)典軌跡與實(shí)時(shí)軌跡之間的大差異性,該文利用最長(zhǎng)公共子序列理論,提出一種魯棒的軌跡相似度量方法。該方法首先利用點(diǎn)到線段之間的距離判斷經(jīng)典軌跡的點(diǎn)與實(shí)時(shí)軌跡的線段是否一致;然后利用改進(jìn)的多對(duì)1最長(zhǎng)公共子序列算法,計(jì)算經(jīng)典軌跡與實(shí)時(shí)軌跡之間的最長(zhǎng)公共子序列長(zhǎng)度;最后將最長(zhǎng)公共子序列長(zhǎng)度與經(jīng)典軌跡的點(diǎn)數(shù)的比值作為經(jīng)典軌跡與實(shí)時(shí)軌跡之間的相似度。實(shí)驗(yàn)說(shuō)明該算法的魯棒性,該算法能夠有效解決經(jīng)典軌跡與實(shí)時(shí)軌跡之間的大差異軌跡相似度量問(wèn)題。

  • 圖  1  不同距離門(mén)限的軌跡相似度量

    圖  2  不同軌跡刪除率的軌跡相似度量

    圖  3  不同軌跡擾動(dòng)率的軌跡相似度量

  • ANDRIENKO G, ANDRIENKO N, FUCHS G, et al. Clustering trajectories by relevant parts for air traffic analysis[J]. IEEE Transactions on Visualization and Computer Graphics, 2018, 24(1): 34–44. doi: 10.1109/TVCG.2017.2744322
    毛嘉莉, 金澈清, 章志剛, 等. 軌跡大數(shù)據(jù)異常檢測(cè): 研究進(jìn)展及系統(tǒng)框架[J]. 軟件學(xué)報(bào), 2017, 28(1): 17–34. doi: 10.13328/j.cnki.jos.005151

    MAO Jiali, JIN Cheqing, ZHANG Zhigang, et al. Anomaly detection for trajectory big data: Advancements and framework[J]. Journal of Software, 2017, 28(1): 17–34. doi: 10.13328/j.cnki.jos.005151
    李保珠, 張林, 董云龍, 等. 基于航跡矢量分級(jí)聚類(lèi)的雷達(dá)與電子支援措施抗差關(guān)聯(lián)算法[J]. 電子與信息學(xué)報(bào), 2019, 41(6): 1310–1316. doi: 10.11999/JEIT180714

    LI Baozhu, ZHANG Lin, DONG Yunlong, et al. Anti-bias track association algorithm of radar and electronic support measurements based on track vectors hierarchical clustering[J]. Journal of Electronics &Information Technology, 2019, 41(6): 1310–1316. doi: 10.11999/JEIT180714
    陳鴻昶, 徐乾, 黃瑞陽(yáng), 等. 一種基于用戶(hù)軌跡的跨社交網(wǎng)絡(luò)用戶(hù)身份識(shí)別算法[J]. 電子與信息學(xué)報(bào), 2018, 40(11): 2758–2764. doi: 10.11999/JEIT180130

    CHEN Hongchang, XU Qian, HUANG Ruiyang, et al. User identification across social networks based on user trajectory[J]. Journal of Electronics &Information Technology, 2018, 40(11): 2758–2764. doi: 10.11999/JEIT180130
    AGRAWAL R, FALOUTSOS C, and SWAMI A. Efficient similarity search in sequence databases[C]. The 4th International Conference on Foundations of Data Organization and Algorithms, Chicago, USA, 1993: 69–84.
    KEOGH E and RATANAMAHATANA C A. Exact indexing of dynamic time warping[J]. Knowledge and Information Systems, 2005, 7(3): 358–386. doi: 10.1007/s10115-004-0154-9
    GUO Ning, MA Mengyu, XIONG Wei, et al. An efficient query algorithm for trajectory similarity based on Fréchet distance threshold[J]. ISPRS International Journal of Geo-Information, 2017, 6(11): 326. doi: 10.3390/ijgi6110326
    魏龍翔, 何小海, 滕奇志, 等. 結(jié)合Hausdorff距離和最長(zhǎng)公共子序列的軌跡分類(lèi)[J]. 電子與信息學(xué)報(bào), 2013, 35(4): 784–790. doi: 10.3724/SP.J.1146.2012.01078

    WEI Longxiang, HE Xiaohai, TENG Qizhi, et al. Trajectory classification based on Hausdorff distance and longest common subsequence[J]. Journal of Electronics &Information Technology, 2013, 35(4): 784–790. doi: 10.3724/SP.J.1146.2012.01078
    朱進(jìn), 胡斌, 邵華. 基于多重運(yùn)動(dòng)特征的軌跡相似性度量模型[J]. 武漢大學(xué)學(xué)報(bào): 信息科學(xué)版, 2017, 42(12): 1703–1710. doi: 10.13203/j.whugis20150594

    ZHU Jin, HU Bin, and SHAO Hua. Trajectory similarity measure based on multiple movement features[J]. Geomatics and Information Science of Wuhan University, 2017, 42(12): 1703–1710. doi: 10.13203/j.whugis20150594
    VLACHOS M, KOLLIOS G, and GUNOPULOS D. Discovering similar multidimensional trajectories[C]. The 18th International Conference on Data Engineering, San Jose, USA, 2002: 673–684. doi: 10.1109/ICDE.2002.994784.
    劉宇, 王前東. 基于最長(zhǎng)公共子序列的非同步相似軌跡判斷[J]. 電訊技術(shù), 2017, 57(10): 1165–1170. doi: 10.3969/j.issn.1001-893x.2017.10.011

    LIU Yu and WANG Qiandong. Computing similar measure between two asynchronous trajectories based on longest common subsequence method[J]. Telecommunication Engineering, 2017, 57(10): 1165–1170. doi: 10.3969/j.issn.1001-893x.2017.10.011
    WAGNER R A and FISCHER M J. The string-to-string correction problem[J]. Journal of the ACM, 1974, 21(1): 168–173. doi: 10.1145/321796.321811
    CHOONG M Y, ANGELINE L, CHIN R K Y, et al. Modeling of vehicle trajectory clustering based on LCSS for traffic pattern extraction[C]. The 2nd IEEE International Conference on Automatic Control and Intelligent Systems, Kota Kinabalu, Malaysia, 2017: 74–79. doi: 10.1109/I2CACIS.2017.8239036.
    王前東. 一種帶匹配路徑約束的最長(zhǎng)公共子序列長(zhǎng)度算法[J]. 電子與信息學(xué)報(bào), 2017, 39(11): 2615–2619. doi: 10.11999/JEIT170092

    WANG Qiandong. A matching path constrained longest common subsequence length algorithm[J]. Journal of Electronics &Information Technology, 2017, 39(11): 2615–2619. doi: 10.11999/JEIT170092
    WANG Haoxin, ZHONG Jingdong, and ZHANG Defu. A duplicate code checking algorithm for the programming experiment[C]. The 2nd International Conference on Mathematics and Computers in Sciences and in Industry, Sliema, Malta, 2015: 39–42. doi: 10.1109/MCSI.2015.12.
    YUAN Guan, SUN Penghui, ZHAO Jie, et al. A review of moving object trajectory clustering algorithms[J]. Artificial Intelligence Review, 2017, 47(1): 123–144. doi: 10.1007/s10462-016-9477-7
  • 加載中
圖(3)
計(jì)量
  • 文章訪問(wèn)數(shù):  2360
  • HTML全文瀏覽量:  1658
  • PDF下載量:  83
  • 被引次數(shù): 0
出版歷程
  • 收稿日期:  2019-07-22
  • 修回日期:  2020-04-08
  • 網(wǎng)絡(luò)出版日期:  2020-04-16
  • 刊出日期:  2020-08-18

目錄

    /

    返回文章
    返回