Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Robust Two-Stream Multi-Feature Network for Driver Drowsiness Detection   Drowsiness driving is a major cause of traffic accidents and thus numerous
previous researches have focused on driver drowsiness detection. Many drive
relevant factors have been taken into consideration for fatigue detection and
can lead to high precision, but there are still several serious constraints,
such as most existing models are environmentally susceptible. In this paper,
fatigue detection is considered as temporal action detection problem instead of
image classification. The proposed detection system can be divided into four
parts: (1) Localize the key patches of the detected driver picture which are
critical for fatigue detection and calculate the corresponding optical flow.
(2) Contrast Limited Adaptive Histogram Equalization (CLAHE) is used in our
system to reduce the impact of different light conditions. (3) Three individual
two-stream networks combined with attention mechanism are designed for each
feature to extract temporal information. (4) The outputs of the three
sub-networks will be concatenated and sent to the fully-connected network,
which judges the status of the driver. The drowsiness detection system is
trained and evaluated on the famous Nation Tsing Hua University Driver
Drowsiness Detection (NTHU-DDD) dataset and we obtain an accuracy of 94.46%,
which outperforms most existing fatigue detection models.

31
The categories of this paper are: ao-sci
18
The categories of this paper are: econ
19
The categories of this paper are: eess
8
The categories of this paper are: hep-ex
37
The categories of this paper are: supr-con
10
The categories of this paper are: q-bio
28
The categories of this paper are: alg-geom
26
The categories of this paper are: bayes-an
5
The categories of this paper are: gr-qc
9
The categories of this paper are: nlin
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The categories of this paper are: cmp-lg
32
The categories of this paper are: atom-ph
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The categories of this paper are: solv-int
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The categories of this paper are: quant-ph
11
The categories of this paper are: hep-lat
15
The categories of this paper are: nucl-ex