Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Supervised and Unsupervised Detections for Multiple Object Tracking in
  Traffic Scenes: A Comparative Study   In this paper, we propose a multiple object tracker, called MF-Tracker, that
integrates multiple classical features (spatial distances and colours) and
modern features (detection labels and re-identification features) in its
tracking framework. Since our tracker can work with detections coming either
from unsupervised and supervised object detectors, we also investigated the
impact of supervised and unsupervised detection inputs in our method and for
tracking road users in general. We also compared our results with existing
methods that were applied on the UA-Detrac and the UrbanTracker datasets.
Results show that our proposed method is performing very well in both datasets
with different inputs (MOTA ranging from 0:3491 to 0:5805 for unsupervised
inputs on the UrbanTracker dataset and an average MOTA of 0:7638 for supervised
inputs on the UA Detrac dataset) under different circumstances. A well-trained
supervised object detector can give better results in challenging scenarios.
However, in simpler scenarios, if good training data is not available,
unsupervised method can perform well and can be a good alternative.

18
The categories of this paper are: econ
22
The categories of this paper are: chao-dyn
7
The categories of this paper are: hep-th
17
The categories of this paper are: q-fin
4
The categories of this paper are: cond-mat
13
The categories of this paper are: quant-ph
32
The categories of this paper are: atom-ph
28
The categories of this paper are: alg-geom
34
The categories of this paper are: chem-ph
14
The categories of this paper are: math-ph
9
The categories of this paper are: nlin
31
The categories of this paper are: ao-sci
21
The categories of this paper are: adap-org
0
The categories of this paper are: hep-ph
16
The categories of this paper are: stat
20
The categories of this paper are: acc-phys