Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Okutama-Action: An Aerial View Video Dataset for Concurrent Human Action
  Detection   Despite significant progress in the development of human action detection
datasets and algorithms, no current dataset is representative of real-world
aerial view scenarios. We present Okutama-Action, a new video dataset for
aerial view concurrent human action detection. It consists of 43 minute-long
fully-annotated sequences with 12 action classes. Okutama-Action features many
challenges missing in current datasets, including dynamic transition of
actions, significant changes in scale and aspect ratio, abrupt camera movement,
as well as multi-labeled actors. As a result, our dataset is more challenging
than existing ones, and will help push the field forward to enable real-world
applications.

17
The categories of this paper are: q-fin
21
The categories of this paper are: adap-org
11
The categories of this paper are: hep-lat
33
The categories of this paper are: plasm-ph
31
The categories of this paper are: ao-sci
12
The categories of this paper are: nucl-th
6
The categories of this paper are: astro-ph
9
The categories of this paper are: nlin
18
The categories of this paper are: econ
24
The categories of this paper are: dg-ga
2
The categories of this paper are: math
25
The categories of this paper are: patt-sol
10
The categories of this paper are: q-bio
32
The categories of this paper are: atom-ph
35
The categories of this paper are: mtrl-th
16
The categories of this paper are: stat