Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Real-Time Visual Place Recognition for Personal Localization on a Mobile
  Device   The paper presents an approach to indoor personal localization on a mobile
device based on visual place recognition. We implemented on a smartphone two
state-of-the-art algorithms that are representative to two different approaches
to visual place recognition: FAB-MAP that recognizes places using individual
images, and ABLE-M that utilizes sequences of images. These algorithms are
evaluated in environments of different structure, focusing on problems commonly
encountered when a mobile device camera is used. The conclusions drawn from
this evaluation are guidelines to design the FastABLE system, which is based on
the ABLE-M algorithm, but introduces major modifications to the concept of
image matching. The improvements radically cut down the processing time and
improve scalability, making it possible to localize the user in long image
sequences with the limited computing power of a mobile device. The resulting
place recognition system compares favorably to both the ABLE-M and the FAB-MAP
solutions in the context of real-time personal localization.

27
The categories of this paper are: comp-gas
14
The categories of this paper are: math-ph
16
The categories of this paper are: stat
0
The categories of this paper are: hep-ph
15
The categories of this paper are: nucl-ex
17
The categories of this paper are: q-fin
31
The categories of this paper are: ao-sci
7
The categories of this paper are: hep-th
10
The categories of this paper are: q-bio
3
The categories of this paper are: physics
28
The categories of this paper are: alg-geom
29
The categories of this paper are: funct-an
12
The categories of this paper are: nucl-th
34
The categories of this paper are: chem-ph
4
The categories of this paper are: cond-mat
30
The categories of this paper are: q-alg