Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Person Re-Identification System For Mobile Devices   Person re-identification is a critical security task for recognizing a person
across spatially disjoint sensors. Previous work can be computationally
intensive and is mainly based on low-level cues extracted from RGB data and
implemented on a PC for a fixed sensor network (such as traditional CCTV). We
present a practical and efficient framework for mobile devices (such as smart
phones and robots) where high-level semantic soft biometrics are extracted from
RGB and depth data. By combining these cues, our approach attempts to provide
robustness to noise, illumination, and minor variations in clothing. This
mobile approach may be particularly useful for the identification of persons in
areas ill-served by fixed sensors or for tasks where the sensor position and
direction need to dynamically adapt to a target. Results on the BIWI dataset
are preliminary but encouraging. Further evaluation and demonstration of the
system will be available on our website.

31
The categories of this paper are: ao-sci
20
The categories of this paper are: acc-phys
3
The categories of this paper are: physics
19
The categories of this paper are: eess
32
The categories of this paper are: atom-ph
37
The categories of this paper are: supr-con
23
The categories of this paper are: solv-int
14
The categories of this paper are: math-ph
9
The categories of this paper are: nlin
16
The categories of this paper are: stat
30
The categories of this paper are: q-alg
26
The categories of this paper are: bayes-an
27
The categories of this paper are: comp-gas
8
The categories of this paper are: hep-ex
33
The categories of this paper are: plasm-ph
11
The categories of this paper are: hep-lat