Aiming at track association before and after multi-target track interruption, a track associating method on the basis of transitive closure fuzzy clustering is proposed. Firstly, the method converts the traditional track fuzzy similarity matrix into a fuzzy equivalent matrix by squaring method, and split sub-blocks of the equivalent matrix. Then the method calculates final track correlation matrix based on correlating threshold function related to track interruption duration, and obtains correct track association by the correlation matrix. The simulation proves that, the proposed method improves association accuracy comparing with other association algorithms based on fuzzy theory, and presents a more significant advantage in the case that targets maneuver and tracks cross.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A Track Association Algorithm Based on Transitive Closure Fuzzy Clustering


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Yan, Liang (editor) / Duan, Haibin (editor) / Yu, Xiang (editor) / Huang, Yinghao (author) / Zhang, Kaihua (author) / Wang, Jing (author) / Cai, Yunze (author)


    Publication date :

    2021-10-30


    Size :

    12 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    A Track Association Algorithm Based on Transitive Closure Fuzzy Clustering

    Huang, Yinghao / Zhang, Kaihua / Wang, Jing et al. | TIBKAT | 2022


    Efficient transitive closure algorithms

    Ioannidis, Yannis E. / Ramakrishnan, Raghu | TIBKAT | 1988


    Clustering-Based Uncorrelated Track Association

    Penafiel, Louis | British Library Conference Proceedings | 2021



    Clustering Track Pairs for Multi-Sensor Track Association

    IMRAN SYED ASIF | European Patent Office | 2023

    Free access