DocumentCode
2865578
Title
Distributed Multi-sensor Multi-target Tracking with Random Sets II
Author
Tian, Shurong ; He, You ; Sun, Xiaoshu
Author_Institution
Res. Inst. of Appl. Math., Yantai
fYear
2007
fDate
29-31 Oct. 2007
Firstpage
310
Lastpage
313
Abstract
An approach for distributed multi-sensor multi-target tracking with random sets is introduced. For each sensor, probability hypotheses density filter is employed to obtain a state estimate set, then, weighted tracks association is used to correlate the state estimates. Experiments show this approach to be able to estimate both the number of tracked objects, as well as the states of the objects, robustly from noisy observations.
Keywords
probability; sensor fusion; set theory; state estimation; target tracking; distributed multi-sensor multi-target tracking; probability hypotheses density filter; random sets; state estimate set; weighted tracks association; Aerospace engineering; Bayesian methods; Filters; Integral equations; Mathematics; Random variables; Robustness; Signal processing algorithms; State estimation; Target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantics, Knowledge and Grid, Third International Conference on
Conference_Location
Shan Xi
Print_ISBN
0-7695-3007-9
Electronic_ISBN
978-0-7695-3007-9
Type
conf
DOI
10.1109/SKG.2007.41
Filename
4438557
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