Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Flying Objects Detection from a Single Moving Camera   We propose an approach to detect flying objects such as UAVs and aircrafts
when they occupy a small portion of the field of view, possibly moving against
complex backgrounds, and are filmed by a camera that itself moves.
  Solving such a difficult problem requires combining both appearance and
motion cues. To this end we propose a regression-based approach to motion
stabilization of local image patches that allows us to achieve effective
classification on spatio-temporal image cubes and outperform state-of-the-art
techniques.
  As the problem is relatively new, we collected two challenging datasets for
UAVs and Aircrafts, which can be used as benchmarks for flying objects
detection and vision-guided collision avoidance.

32
The categories of this paper are: atom-ph
3
The categories of this paper are: physics
23
The categories of this paper are: solv-int
4
The categories of this paper are: cond-mat
5
The categories of this paper are: gr-qc
10
The categories of this paper are: q-bio
17
The categories of this paper are: q-fin
0
The categories of this paper are: hep-ph
24
The categories of this paper are: dg-ga
11
The categories of this paper are: hep-lat
2
The categories of this paper are: math
19
The categories of this paper are: eess
36
The categories of this paper are: cmp-lg
8
The categories of this paper are: hep-ex
30
The categories of this paper are: q-alg
13
The categories of this paper are: quant-ph