Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Unified Framework for Automated Person Re-identification and Camera
  Network Topology Inference in Camera Networks   Person re-identification in large-scale multi-camera networks is a
challenging task because of the spatio-temporal uncertainty and high complexity
due to large numbers of cameras and people. To handle these difficulties,
additional information such as camera network topology should be provided,
which is also difficult to automatically estimate. In this paper, we propose a
unified framework which jointly solves both person re-id and camera network
topology inference problems. The proposed framework takes general multi-camera
network environments into account. To effectively show the superiority of the
proposed framework, we also provide a new person re-id dataset with full
annotations, named SLP, captured in the synchronized multi-camera network.
Experimental results show that the proposed methods are promising for both
person re-id and camera topology inference tasks.

26
The categories of this paper are: bayes-an
4
The categories of this paper are: cond-mat
11
The categories of this paper are: hep-lat
33
The categories of this paper are: plasm-ph
28
The categories of this paper are: alg-geom
32
The categories of this paper are: atom-ph
21
The categories of this paper are: adap-org
15
The categories of this paper are: nucl-ex
12
The categories of this paper are: nucl-th
30
The categories of this paper are: q-alg
0
The categories of this paper are: hep-ph
3
The categories of this paper are: physics
27
The categories of this paper are: comp-gas
19
The categories of this paper are: eess
18
The categories of this paper are: econ
2
The categories of this paper are: math