research-article

A Survey on Surveillance using Drones

Authors:

Golla Uday Sai Theja,

Motukoori Sai Murari,

M. Franckie Singha,

Ananya ChoudhuryAuthors Info & Claims

IC3-2022: Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing

Pages 250 - 257

https://doi.org/10.1145/3549206.3549253

Published: 24 October 2022 Publication History

Abstract

Drones are flying robots that can be remotely controlled. In this paper, we discussed different ways a drone can be used for surveillance. Drones are used to detect forest fires, manage traffic remotely, surveillance of crowds, etc. Drones make surveillance effective, accessible, and time-saving. Drones surveillance dearth the researcher’s conscientious, and therefore, we accumulate the associated literature and converse their realistic standpoint in general. This paper makes a specialty of video surveillance, the usage of drones in item detection and tracking, video summarization, continual tracking of the quarry, seek and rescue related operations in an adverse environment, traffic control in smart towns, and catastrophe control in a direful situation. This quick survey lock-up mild at the studies gaps.

References

[1]

Cristiana Achille, Andrea Adami, Silvia Chiarini, Stefano Cremonesi, Francesco Fassi, Luigi Fregonese, and Laura Taffurelli. 2015. UAV-based photogrammetry and integrated technologies for architectural applications—methodological strategies for the after-quake survey of vertical structures in Mantua (Italy). Sensors 15, 7 (2015), 15520–15539.

[2]

Y. Bazi and F. Melgani. 2018. Convolutional svm networks for object detection in uav imagery. Ieee transactions on geoscience and remote sensing, vol. 56, no. 6, pp. 3107–3118.

[3]

Chiara Biscarini, Silvia Di Francesco, Elena Ridolfi, and Piergiorgio Manciola. 2016. On the simulation of floods in a narrow bending valley: The malpasset dam break case study. Water 8, 11 (2016), 545.

[4]

Raphael Bossong and Helena Carrapico. 2016. EU Borders and Shifting Internal Security. Technology, Springer 72(2016).

[5]

Antoine Bousquet. 2018. The eye of war: military perception from the telescope to the drone. U of Minnesota Press.

[6]

Yaru Cao, Zhijian He, Lujia Wang, Wenguan Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, 2021. VisDrone-DET2021: The vision meets drone object detection challenge results. In Proceedings of the IEEE/CVF International Conference on Computer Vision. 2847–2854.

[7]

Oihane Cereceda. 2018. A Survey of Collision Avoidance Methods for Unmanned Aircraft Systems. (2018).

[8]

Raluca Csernatoni. 2018. Constructing the EU’s high-tech borders: FRONTEX and dual-use drones for border management. European Security 27, 2 (2018), 175–200.

[9]

Thibault De Swarte, Omar Boufous, and Paul Escalle. 2019. Artificial intelligence, ethics and human values: the cases of military drones and companion robots. Artificial Life and Robotics 24, 3 (2019), 291–296.

Digital Library

[10]

Naqqash Dilshad, Jaeyoung Hwang, and Jaeseung Song. 2020. Applications and Challenges in Video Surveillance via Drone: A Brief Survey. International Conference on Information and Communication Technology Convergence (ICTC).

[11]

Georgios Dimitriou. 2013. Integrating Unmanned Aerial Vehicles into surveillance systems in complex maritime environments. Technical Report. NAVAL POSTGRADUATE SCHOOL MONTEREY CA.

[12]

Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Apostolos Axenopoulos, Arne Schumann, Athanasios Psaltis, Ayush Jain, Bin Dong, Changlin Li, Chen Chen, Chengzhen Duan, Chongyang Zhang, Daniel Stadler, Dheeraj Pailla, and Ziming Liu. 2020. VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results. 692–712. https://doi.org/10.1007/978-3-030-66823-5_42

Digital Library

[13]

Gui-Jun Duan and Peng-Fei Zhang. 2014. Research on application of UAV for maritime supervision. Journal of Shipping and Ocean Engineering 4 (2014), 322–326.

[14]

Zacc Dukowitz. 2019. Drones in search and rescue: 5 Stories showcasing ways search and rescue uses drones to save lives. UAV Coach Accessed 3, 1 (2019), 20.

[15]

F. Yang et al.2019. A framework for knowing who is doing what in aerial surveillance videos. IEEE Access, vol. 7, pp. 93 315–93 325,.

[16]

G. Lira et al.2016. A computer-vision approach to traffic analysis over intersections. IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), pp. 47–53.

[17]

H. Trinh et al.2012. Efficient uav video event summarization. Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), pp. 2226–2229.

[18]

J. Park et al.2019. Multiple uavs-based surveillance and reconnaissance system utilizing iot platform. International Conference on Electronics, Information, and Communication (ICEIC).

[19]

M. Mueller et al.2016. Persistent aerial tracking system for uavs. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1562–1569.

[20]

T. Hussain et al.2020. A comprehensive survey on multi-view video summarization. Pattern Recognition, p. 107567.

[21]

W. Li et al.2019. Simultaneously detecting and counting dense vehicles from drone images. IEEE Transactions on Industrial Electronics, vol. 66, no. 12, pp. 9651–9662.

[22]

Z. Marusic et al.2019. Visual search on aerial imagery as support for finding lost persons. 8th Mediterranean Conference on Embedded Computing (MECO), pp. 1–4.

[23]

Anna Feigenbaum and Anja Kanngieser. 2015. For a politics of atmospheric governance. Dialogues in Human Geography 5, 1 (2015), 80–84.

[24]

Kaitlyn L Fleming, Youssef MA Hashash, Stephen McLandrich, Nick O’Riordan, and Michael Riemer. 2016. Novel technologies for deep-excavation digital construction records. Practice Periodical on Structural Design and Construction 21, 4(2016), 05016002.

[25]

Norman Hallermann, Guido Morgenthal, and Volker Rodehorst. 2015. Unmanned Aerial Systems (UAS)–Case Studies of Vision Based Monitoring of Ageing Structures. In International Symposium Non-Destructive Testing in Civil Engineering (NDT-CE). 15–17.

[26]

K. Hartmann and K. Giles. 2016. Uav exploitation: A new domain for cyber power. 8th International Conference on Cyber Conflict (CyCon).

[27]

MC Harvey, JV Rowland, and KM Luketina. 2016. Drone with thermal infrared camera provides high resolution georeferenced imagery of the Waikite geothermal area, New Zealand. Journal of Volcanology and Geothermal Research 325 (2016), 61–69.

[28]

Paul DM Holden. 2016. Flying robots and privacy in Canada. Canadian Journal of Law and Technology 14, 1 (2016), 3.

[29]

Forrest N Iandola, Song Han, Matthew W Moskewicz, Khalid Ashraf, William J Dally, and Kurt Keutzer. 2016. SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and < 0.5 MB model size. arXiv preprint arXiv:1602.07360(2016).

[30]

Javier Irizarry and Dayana Bastos Costa. 2016. Exploratory study of potential applications of unmanned aerial systems for construction management tasks. Journal of Management in Engineering 32, 3 (2016), 05016001.

[31]

H. Kim and J. Ben-Othman. 2018. A collision-free surveillance system using smart uavs in multi domain iot. IEEE Communications Letters, vol. 22, no. 12, pp. 2587–2590.

[32]

Francisco Klauser, Dennis Pauschinger, Silvana Pedrozo, Lea Stuber, and Rahel Plací. 2018. Professional drone usage in Switzerland: results of a quantitative survey of public and private drone users. Technical Report. Université de Neuchâtel.

[33]

Jan-Tai Kuo, Ben-Chie Yen, Yung-Chia Hsu, and Huei-Fen Lin. 2007. Risk analysis for dam overtopping—Feitsui reservoir as a case study. Journal of Hydraulic Engineering 133, 8 (2007), 955–963.

[34]

T. Li, J. Liu, W. Zhang, Y. Ni, W. Wang, and Z. Li. 2021. UAV-Human: A Large Benchmark for Human Behavior Understanding with UAVs. CVPR.

[35]

C. Lin, S. Pankanti, and J. Smith. 2014. Accurate coverage summarization of uav videos. IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pp. 1–5.

[36]

Aditya S Natu and SC Kulkarni. 2016. Adoption and utilization of drones for advanced precision farming: A review. International journal on recent and innovation trends in computing and communication 4, 5 (2016), 563–565.

[37]

Gonzalo Pajares. 2015. Overview and current status of remote sensing applications based on unmanned aerial vehicles (UAVs). Photogrammetric Engineering & Remote Sensing 81, 4 (2015), 281–330.

[38]

Vivek Sehrawat. 2017. Legal status of drones under LOAC and international law. Penn St. JL & Int’l Aff. 5 (2017), 164.

[39]

Adan E Vela, Luis Ferreira, and Taylor Babin. 2018. A safety analysis of UAV mapping operations. In 2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC). IEEE, 1–8.

[40]

Fu-gang Xu, Xing-guo Yang, and Jia-wen Zhou. 2017. Dam-break flood risk assessment and mitigation measures for the Hongshiyan landslide-dammed lake triggered by the 2014 Ludian earthquake. Geomatics, Natural Hazards and Risk 8, 2 (2017), 803–821.

[41]

S. Yeong, L. King, and S. Dol. 2015. A review on marine search and rescue operations using unmanned aerial vehicles. International Journal of Marine and Environmental Sciences, vol. 9, no. 2, pp. 396–399.

[42]

Chunhua Zhang and John M Kovacs. 2012. The application of small unmanned aerial systems for precision agriculture: a review. Precision agriculture 13, 6 (2012), 693–712.

[43]

Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Qinqin Nie, Hao Cheng, Chenfeng Liu, Xiaoyu Liu, 2018. Visdrone-det2018: The vision meets drone object detection in image challenge results. In Proceedings of the European Conference on Computer Vision (ECCV) Workshops. 0–0.

Cited By

Lins LNascimento EDantas JAraujo JMaciel P(2024)Stochastic Modeling for Assessing the Reliability and Availability of Drone-Based Surveillance Systems2024 IEEE International Systems Conference (SysCon)10.1109/SysCon61195.2024.10553470(1-8)Online publication date: 15-Apr-2024
https://doi.org/10.1109/SysCon61195.2024.10553470
Kapoor SSharma AVerma A(2024)Diving deep into human action recognition in aerial videos: A surveyJournal of Visual Communication and Image Representation10.1016/j.jvcir.2024.104298104(104298)Online publication date: Oct-2024
https://doi.org/10.1016/j.jvcir.2024.104298
Mandloi DArya RVerma A(2024)Internet of DronesRecent Trends in Artificial Intelligence Towards a Smart World10.1007/978-981-97-6790-8_13(353-373)Online publication date: 10-Sep-2024
https://doi.org/10.1007/978-981-97-6790-8_13

Index Terms

A Survey on Surveillance using Drones
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
2. Hardware
  1. Communication hardware, interfaces and storage
    1. Wireless integrated network sensors

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Published In

cover image ACM Other conferences

IC3-2022: Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing

August 2022

710 pages

ISBN:9781450396752

DOI:10.1145/3549206

General Chairs:
Sartaj Sahni
University of Florida, USA
,
Vikas Saxena
JIIT Noida, India
,
Program Chair:
Sundaraja Sitharama Iyengar
Florida International University, USA

Copyright © 2022 ACM.

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Publication History

Published: 24 October 2022

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IC3-2022: 2022 Fourteenth International Conference on Contemporary Computing

August 4 - 6, 2022

Noida, India

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Cited By

Lins LNascimento EDantas JAraujo JMaciel P(2024)Stochastic Modeling for Assessing the Reliability and Availability of Drone-Based Surveillance Systems2024 IEEE International Systems Conference (SysCon)10.1109/SysCon61195.2024.10553470(1-8)Online publication date: 15-Apr-2024
https://doi.org/10.1109/SysCon61195.2024.10553470
Kapoor SSharma AVerma A(2024)Diving deep into human action recognition in aerial videos: A surveyJournal of Visual Communication and Image Representation10.1016/j.jvcir.2024.104298104(104298)Online publication date: Oct-2024
https://doi.org/10.1016/j.jvcir.2024.104298
Mandloi DArya RVerma A(2024)Internet of DronesRecent Trends in Artificial Intelligence Towards a Smart World10.1007/978-981-97-6790-8_13(353-373)Online publication date: 10-Sep-2024
https://doi.org/10.1007/978-981-97-6790-8_13

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