Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Applying Dynamic Model for Multiple Manoeuvring Target Tracking Using
  Particle Filtering   In this paper, we applied a dynamic model for manoeuvring targets in SIR
particle filter algorithm for improving tracking accuracy of multiple
manoeuvring targets. In our proposed approach, a color distribution model is
used to detect changes of target's model . Our proposed approach controls
deformation of target's model. If deformation of target's model is larger than
a predetermined threshold, then the model will be updated. Global Nearest
Neighbor (GNN) algorithm is used as data association algorithm. We named our
proposed method as Deformation Detection Particle Filter (DDPF) . DDPF approach
is compared with basic SIR-PF algorithm on real airshow videos. Comparisons
results show that, the basic SIR-PF algorithm is not able to track the
manoeuvring targets when the rotation or scaling is occurred in target' s
model. However, DDPF approach updates target's model when the rotation or
scaling is occurred. Thus, the proposed approach is able to track the
manoeuvring targets more efficiently and accurately.

25
The categories of this paper are: patt-sol
8
The categories of this paper are: hep-ex
24
The categories of this paper are: dg-ga
9
The categories of this paper are: nlin
31
The categories of this paper are: ao-sci
15
The categories of this paper are: nucl-ex
22
The categories of this paper are: chao-dyn
35
The categories of this paper are: mtrl-th
36
The categories of this paper are: cmp-lg
30
The categories of this paper are: q-alg
23
The categories of this paper are: solv-int
26
The categories of this paper are: bayes-an
18
The categories of this paper are: econ
3
The categories of this paper are: physics
4
The categories of this paper are: cond-mat
12
The categories of this paper are: nucl-th