• DocumentCode
    3423586
  • Title

    The combination of ACDA and FCM for Data Association in multi-target tracking

  • Author

    Li, Kang ; Wei-Xin, Xie ; Jian-Jun, Huang

  • Author_Institution
    ATR Key Lab. of Nat. Defense, Shenzhen Univ., Shenzhen, China
  • fYear
    2010
  • fDate
    24-28 Oct. 2010
  • Firstpage
    1429
  • Lastpage
    1432
  • Abstract
    For improving the performance of ACDA (Ant Colony Data Association) for data association in multi-target tracking, we propose the combined method of ACDA and FCM. Since FCM is a determinate algorithm, in nature based on NN (Nearest Neighbor), it could generate reasonable results in any case, which is a backup when ACDA becomes divergent. Experiments have been done in three cases-ACDA as data association method only, FCM only, and the combined method of ACDA and FCM. The results show that the performance of the combined method is superior to the other two methods.
  • Keywords
    fuzzy reasoning; sensor fusion; target tracking; ACDA; FCM; ant colony data association method; fuzzy clustering mean algorithm; multitarget tracking; nearest neighbour method; Cities and towns; Clutter; Convergence; Probabilistic logic; Radar tracking; Target tracking; Time measurement; ACDA; FCM; data association; target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2010 IEEE 10th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-5897-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2010.5656942
  • Filename
    5656942