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
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