target splitting
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2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Linhai Gan ◽  
Gang Wang

As target splitting is not considered in the initial development of δ-generalized labeled multi-Bernoulli (δ-GLMB) filter, the scenarios where the new targets appearing conditioned on the preexisting one are not readily addressed by this filter. In view of this, we model the group target as gamma Gaussian inverse Wishart (GGIW) distribution and derive a δ-GLMB filter based on the group splitting model, in which the target splitting event is investigated. Two simplifications of the approach are presented to improve the computing efficiency, where with splitting detection, we need not to predict the splitting events of all the GGIW components in every iteration. With component combination applied in adaptive birth, a redundant modeling for a newborn target or preexisting target could be avoided. Moreover, a method for labeling performance evaluation of the algorithm is provided. Simulations demonstrate the effectiveness of the proposed approach.


2014 ◽  
Vol 9 (1) ◽  
pp. 204 ◽  
Author(s):  
Jiang Hu ◽  
WeiWei Xiao ◽  
ZhiChun He ◽  
DeHua Kang ◽  
ALong Chen ◽  
...  

2009 ◽  
Vol 4 (1) ◽  
Author(s):  
Karl Wurstbauer ◽  
Heinz Deutschmann ◽  
Peter Kopp ◽  
Florian Merz ◽  
Helmut Schöller ◽  
...  

Lung Cancer ◽  
2005 ◽  
Vol 49 ◽  
pp. S315-S316
Author(s):  
K. Wurstbauer ◽  
H. Deutschmann ◽  
P. Kopp ◽  
F. Merz ◽  
O. Nairz ◽  
...  

Lung Cancer ◽  
2003 ◽  
Vol 41 ◽  
pp. S136 ◽  
Author(s):  
Karl Wurstbauer ◽  
Heinz Deutschmann ◽  
Peter Kopp ◽  
Manfred Kranzinger ◽  
Florian Merz ◽  
...  

2001 ◽  
Vol 3 (2) ◽  
pp. 151-153 ◽  
Author(s):  
Karl Wurstbauer ◽  
Heinz Deutschmann ◽  
Felix Sedlmayer ◽  
H. Dieter Kogelnik

Lung Cancer ◽  
2000 ◽  
Vol 29 (1) ◽  
pp. 163 ◽  
Author(s):  
K Wurstbauer ◽  
H Deutschmann ◽  
P Kopp ◽  
M Kranzinger ◽  
F Merz ◽  
...  

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