  This paper proposes a new multi-Bernoulli filter called the Adaptive Labeled
Multi-Bernoulli filter. It combines the relative strengths of the known
Delta-Generalized Labeled Multi-Bernoulli and the Labeled Multi-Bernoulli
filter. The proposed filter provides a more precise target tracking in critical
situations, where the Labeled Multi-Bernoulli filter looses information through
the approximation error in the update step. In noncritical situations it
inherits the advantage of the Labeled Multi-Bernoulli filter to reduce the
computational complexity by using the LMB approximation.
