Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Faster object tracking pipeline for real time tracking   Multi-object tracking (MOT) is a challenging practical problem for vision
based applications. Most recent approaches for MOT use precomputed detections
from models such as Faster RCNN, performing fine-tuning of bounding boxes and
association in subsequent phases. However, this is not suitable for actual
industrial applications due to unavailability of detections upfront. In their
recent work, Wang et al. proposed a tracking pipeline that uses a Joint
detection and embedding model and performs target localization and association
in realtime. Upon investigating the tracking by detection paradigm, we find
that the tracking pipeline can be made faster by performing localization and
association tasks parallely with model prediction. This, and other
computational optimizations such as using mixed precision model and performing
batchwise detection result in a speed-up of the tracking pipeline by 57.8\% (19
FPS to 30 FPS) on FullHD resolution. Moreover, the speed is independent of the
object density in image sequence. The main contribution of this paper is
showcasing a generic pipeline which can be used to speed up detection based
object tracking methods. We also reviewed different batch sizes for optimal
performance, taking into consideration GPU memory usage and speed.

11
The categories of this paper are: hep-lat
6
The categories of this paper are: astro-ph
26
The categories of this paper are: bayes-an
10
The categories of this paper are: q-bio
7
The categories of this paper are: hep-th
3
The categories of this paper are: physics
22
The categories of this paper are: chao-dyn
13
The categories of this paper are: quant-ph
0
The categories of this paper are: hep-ph
18
The categories of this paper are: econ
34
The categories of this paper are: chem-ph
16
The categories of this paper are: stat
19
The categories of this paper are: eess
5
The categories of this paper are: gr-qc
28
The categories of this paper are: alg-geom
35
The categories of this paper are: mtrl-th