Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Research on dynamic target detection and tracking system of hexapod
  robot   Dynamic target detection and target tracking are hot issues in the field of
image. In order to explore its application value in the field of mobile robot,
a dynamic target detection and tracking system is designed based on hexapod
robot. Firstly, the dynamic target detection method is introduced with region
merging and adaptive external point filtering based on motion compensation
method. This method achieves the accurate compensation of the moving background
through symmetric matching and adaptive external point filtering, and achieves
complete detection of non-rigid objects by region merging. Secondly, the
application of target tracking algorithm based on KCF in hexapod robot platform
is studied, and the Angle tracking of moving target is realized by adaptive
adjustment of tracking speed. The last, the architecture of robot monitoring
system is designed, which consists of operator, processor, hexapod robot and
vision sensor, and the moving object detection and tracking algorithm proposed
in this paper is applied to the system. The experimental results show that the
improved algorithm can effectively detect and track the moving target when
applied to the system of the mobile hexapod robot.

37
The categories of this paper are: supr-con
35
The categories of this paper are: mtrl-th
4
The categories of this paper are: cond-mat
12
The categories of this paper are: nucl-th
27
The categories of this paper are: comp-gas
9
The categories of this paper are: nlin
22
The categories of this paper are: chao-dyn
20
The categories of this paper are: acc-phys
17
The categories of this paper are: q-fin
8
The categories of this paper are: hep-ex
5
The categories of this paper are: gr-qc
23
The categories of this paper are: solv-int
13
The categories of this paper are: quant-ph
2
The categories of this paper are: math
21
The categories of this paper are: adap-org
26
The categories of this paper are: bayes-an