Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Real-Time Event-Based Tracking and Detection for Maritime Environments   Event cameras are ideal for object tracking applications due to their ability
to capture fast-moving objects while mitigating latency and data redundancy.
Existing event-based clustering and feature tracking approaches for
surveillance and object detection work well in the majority of cases, but fall
short in a maritime environment. Our application of maritime vessel detection
and tracking requires a process that can identify features and output a
confidence score representing the likelihood that the feature was produced by a
vessel, which may trigger a subsequent alert or activate a classification
system. However, the maritime environment presents unique challenges such as
the tendency of waves to produce the majority of events, demanding the majority
of computational processing and producing false positive detections. By
filtering redundant events and analyzing the movement of each event cluster, we
can identify and track vessels while ignoring shorter lived and erratic
features such as those produced by waves.

27
The categories of this paper are: comp-gas
25
The categories of this paper are: patt-sol
5
The categories of this paper are: gr-qc
0
The categories of this paper are: hep-ph
36
The categories of this paper are: cmp-lg
11
The categories of this paper are: hep-lat
17
The categories of this paper are: q-fin
24
The categories of this paper are: dg-ga
9
The categories of this paper are: nlin
15
The categories of this paper are: nucl-ex
22
The categories of this paper are: chao-dyn
23
The categories of this paper are: solv-int
14
The categories of this paper are: math-ph
30
The categories of this paper are: q-alg
3
The categories of this paper are: physics
20
The categories of this paper are: acc-phys