Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Contextual Sense Making by Fusing Scene Classification, Detections, and
  Events in Full Motion Video   With the proliferation of imaging sensors, the volume of multi-modal imagery
far exceeds the ability of human analysts to adequately consume and exploit it.
Full motion video (FMV) possesses the extra challenge of containing large
amounts of redundant temporal data. We aim to address the needs of human
analysts to consume and exploit data given aerial FMV. We have investigated and
designed a system capable of detecting events and activities of interest that
deviate from the baseline patterns of observation given FMV feeds. We have
divided the problem into three tasks: (1) Context awareness, (2) object
cataloging, and (3) event detection. The goal of context awareness is to
constraint the problem of visual search and detection in video data. A custom
image classifier categorizes the scene with one or multiple labels to identify
the operating context and environment. This step helps reducing the semantic
search space of downstream tasks in order to increase their accuracy. The
second step is object cataloging, where an ensemble of object detectors locates
and labels any known objects found in the scene (people, vehicles, boats,
planes, buildings, etc.). Finally, context information and detections are sent
to the event detection engine to monitor for certain behaviors. A series of
analytics monitor the scene by tracking object counts, and object interactions.
If these object interactions are not declared to be commonly observed in the
current scene, the system will report, geolocate, and log the event. Events of
interest include identifying a gathering of people as a meeting and/or a crowd,
alerting when there are boats on a beach unloading cargo, increased count of
people entering a building, people getting in and/or out of vehicles of
interest, etc. We have applied our methods on data from different sensors at
different resolutions in a variety of geographical areas.

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The categories of this paper are: hep-ph
35
The categories of this paper are: mtrl-th
7
The categories of this paper are: hep-th
27
The categories of this paper are: comp-gas
11
The categories of this paper are: hep-lat
9
The categories of this paper are: nlin
30
The categories of this paper are: q-alg
6
The categories of this paper are: astro-ph
16
The categories of this paper are: stat
22
The categories of this paper are: chao-dyn
32
The categories of this paper are: atom-ph
18
The categories of this paper are: econ
24
The categories of this paper are: dg-ga
21
The categories of this paper are: adap-org
8
The categories of this paper are: hep-ex
36
The categories of this paper are: cmp-lg