Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An approach to improving sound-based vehicle speed estimation   We consider improving the performance of a recently proposed sound-based
vehicle speed estimation method. In the original method, an intermediate
feature, referred to as the modified attenuation (MA), has been proposed for
both vehicle detection and speed estimation. The MA feature maximizes at the
instant of the vehicle's closest point of approach, which represents a training
label extracted from video recording of the vehicle's pass by. In this paper,
we show that the original labeling approach is suboptimal and propose a method
for label correction. The method is tested on the VS10 dataset, which contains
304 audio-video recordings of ten different vehicles. The results show that the
proposed label correction method reduces average speed estimation error from
7.39 km/h to 6.92 km/h. If the speed is discretized into 10 km/h classes, the
accuracy of correct class prediction is improved from 53.2% to 53.8%, whereas
when tolerance of one class offset is allowed, accuracy is improved from 93.4%
to 94.3%.

27
The categories of this paper are: comp-gas
32
The categories of this paper are: atom-ph
29
The categories of this paper are: funct-an
10
The categories of this paper are: q-bio
7
The categories of this paper are: hep-th
18
The categories of this paper are: econ
16
The categories of this paper are: stat
35
The categories of this paper are: mtrl-th
36
The categories of this paper are: cmp-lg
20
The categories of this paper are: acc-phys
28
The categories of this paper are: alg-geom
14
The categories of this paper are: math-ph
4
The categories of this paper are: cond-mat
30
The categories of this paper are: q-alg
12
The categories of this paper are: nucl-th
21
The categories of this paper are: adap-org