Tracking the maneuvering targets using multiple scan joint probabilistic data association algorithm

2004 ◽  
Author(s):  
E. Vahdati-khajeh
Keyword(s):  
Data Association ◽  
Probabilistic Data ◽  
Probabilistic Data Association ◽  
Maneuvering Targets ◽  
Multiple Scan ◽  
Association Algorithm

Extended Probabilistic Data Association Algorithm

2013 ◽  
Vol 380-384 ◽  
pp. 1600-1604
Author(s):  
Wan Li Xu ◽  
Zhun Liu ◽  
Jun Hui Liu
Keyword(s):  
Target Tracking ◽  
Data Association ◽  
Experimental Results ◽  
Effective Algorithm ◽  
Multiple Target Tracking ◽  
Multiple Target ◽  
Probabilistic Data ◽  
Probabilistic Data Association ◽  
Event Based ◽  
Association Algorithm

[Purpos In order to improve the accuracy of target tracking and reduce losing rate of target in the multiple target tracking, a new algorithm called Extended Probabilistic Data Association (EPDA) is presented in this paper. [Metho This paper defines joint association event based on the number of target and puts forward the EPDA for target tracking. [Result Experimental results show that this algorithm has higher accuracy of target tracking than the Probabilistic Data Association algorithm and costs much less time relative to the Joint Probabilistic Data Association algorithm. [Conclusion Consequently, EPDA is an effective algorithm to balance the accuracy and the losing rate in target tracking.

Sign in / Sign up

Export Citation Format

Share Document