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
Link To Document :
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