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Preprint
The State of Aerial Surveillance: A Survey
arXiv (Cornell University)
09 Jan 2022
Abstract
The rapid emergence of airborne platforms and imaging sensors are enabling
new forms of aerial surveillance due to their unprecedented advantages in
scale, mobility, deployment and covert observation capabilities. This paper
provides a comprehensive overview of human-centric aerial surveillance tasks
from a computer vision and pattern recognition perspective. It aims to provide
readers with an in-depth systematic review and technical analysis of the
current state of aerial surveillance tasks using drones, UAVs and other
airborne platforms. The main object of interest is humans, where single or
multiple subjects are to be detected, identified, tracked, re-identified and
have their behavior analyzed. More specifically, for each of these four tasks,
we first discuss unique challenges in performing these tasks in an aerial
setting compared to a ground-based setting. We then review and analyze the
aerial datasets publicly available for each task, and delve deep into the
approaches in the aerial literature and investigate how they presently address
the aerial challenges. We conclude the paper with discussion on the missing
gaps and open research questions to inform future research avenues.
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Details
- Title
- The State of Aerial Surveillance: A Survey
- Creators
- Kien Nguyen - Queensland University of TechnologyClinton Fookes - Queensland University of TechnologySridha Sridharan - Queensland University of TechnologyYingli TianFeng Liu - Drexel University, Computer ScienceXiaoming Liu - Michigan State UniversityArun Ross - Michigan State University
- Publication Details
- arXiv (Cornell University)
- Resource Type
- Preprint
- Language
- English
- Academic Unit
- Computer Science
- Other Identifier
- 991022008295504721