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
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;
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
DOI :
10.1109/SKG.2007.41
