The Combination of ACDA and FCM for Data Association in Multi-target Tracking

摘要：

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.

关键词： data association target tracking ACDA FCM

作者: Kang Li Xie Wei-xin Huang Jian-jun

作者单位: ATR Key Laboratory of National Defense, Shenzhen University, Shenzhen, China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 1429-1432

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）