Authors :
Advitiya C S; Adarsh R Shenoy, Shravya A R; Abhishek Battula; Akash Raghavendra; Dr. Krishnan R
Volume/Issue :
Volume 8 - 2023, Issue 2 - February
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://bit.ly/3yj2xvF
DOI :
https://doi.org/10.5281/zenodo.7707008
Abstract :
Multiple Object Tracking (MOT) is the
detection of unique objects and their movements
through frames. There are various issues in Multiple
Object Tracking like occlusions, similar appearance of
different objects, interaction among multiple objects, etc.
There are even more issues with Object Tracking in
aerial image sequences due to weather conditions, small
sizes of objects, distortion in proportions, etc. Even with
the various techniques and methods developed for MOT,
only a fraction are able to perform on aerial image
sequences with the rest focusing on ground level image
sequences. Research in Multiple Object Tracking has
been gaining a lot of attention with an increasing trend
in the number of Multiple Object Tracking research
papers published each year. This paper focuses on
documenting the advancements in Multiple Object
Tracking in recent years, with extra attention paid to
techniques that help with aerial image sequences. The
various architectures and techniques are classified and
are compared along with their advantages,
disadvantages and performance scores, with detailed
mention of the datasets generally used for various
applications.
Keywords :
Multiple object tracking, aerial images, attention networks, occlusion, pedestrian tracking.
Multiple Object Tracking (MOT) is the
detection of unique objects and their movements
through frames. There are various issues in Multiple
Object Tracking like occlusions, similar appearance of
different objects, interaction among multiple objects, etc.
There are even more issues with Object Tracking in
aerial image sequences due to weather conditions, small
sizes of objects, distortion in proportions, etc. Even with
the various techniques and methods developed for MOT,
only a fraction are able to perform on aerial image
sequences with the rest focusing on ground level image
sequences. Research in Multiple Object Tracking has
been gaining a lot of attention with an increasing trend
in the number of Multiple Object Tracking research
papers published each year. This paper focuses on
documenting the advancements in Multiple Object
Tracking in recent years, with extra attention paid to
techniques that help with aerial image sequences. The
various architectures and techniques are classified and
are compared along with their advantages,
disadvantages and performance scores, with detailed
mention of the datasets generally used for various
applications.
Keywords :
Multiple object tracking, aerial images, attention networks, occlusion, pedestrian tracking.
