Object Tracking with the Drone: Systems Analysis
DOI:
https://doi.org/10.51173/jt.v5i2.755Keywords:
Computer Vision, Drone, UAV, Object TrackingAbstract
The fast improvement in computer vision and the increase in the range of its application around the world. And at the same time the improvement of unmanned aerial vehicles (UAV). The computer vision application is being integrated with the drone to achieve several purposes. one computer vision application that is used with the drone is object tracking. This type of task is used with the drone to achieve semi-autonomous movement of the drones, depending on the movement of the pre-determined target. This work categorizes the two methods to design object tracking by drone.
Downloads
References
P. Zhu et al., "Vision Meets Drones: Past, Present, and Future," IEEE Access, vol. 9, no. section III, pp. 110149–110172, 2020, doi: 10.1109/ACCESS.2021.3101988.
B. Alkouz, B. Shahzaad, and A. Bouguettaya, “Service-Based Drone Delivery,” pp. 68–76, 2022, doi: 10.1109/cic52973.2021.00019.
E. Aldao, L. M. González-Desantos, H. Michinel, and H. González-Jorge, “UAV Obstacle Avoidance Algorithm to Navigate in Dynamic Building Environments,” Drones, vol. 6, no. 1, 2022, doi: 10.3390/drones6010016.
J. Upadhyay, A. Rawat, and D. Deb, “Multiple drone navigation and formation using selective target tracking-based computer vision,” Electron., vol. 10, no. 17, 2021, doi: 10.3390/electronics10172125.
W. Budiharto, E. Irwansyah, J. S. Suroso, A. Chowanda, H. Ngarianto, and A. A. S. Gunawan, “Mapping and 3D modelling using quadrotor drone and GIS software,” J. Big Data, vol. 8, no. 1, 2021, doi: 10.1186/s40537-021-00436-8.
S. Kentsch, M. L. L. Caceres, D. Serrano, F. Roure, and Y. Diez, “Computer vision and deep learning techniques for the analysis of drone-acquired forest images, a transfer learning study,” Remote Sens., vol. 12, no. 8, pp. 1–19, 2020, doi: 10.3390/RS12081287.
S. Seetharaman, S. Tekumalla, and M. Gupta, “Applications and challenges,” Magnesium-Based Nanocomposites, pp. 1–19, 2020, doi: 10.1088/978-0-7503-3535-5ch11.
M. Ondrasovic and P. Tarabek, “Siamese Visual Object Tracking: A Survey,” IEEE Access, vol. 9, no. section III, pp. 110149–110172, 2021, doi: 10.1109/ACCESS.2021.3101988.
Nvidia, “jetson nano developmet kit.” https://developer.nvidia.com/embedded/jetson-nano-developer-kit. [accessed on August 28, 2022]
Asus, “tinker board 2s development board” https://tinker-board.asus.com/product/tinker-board-2s.html. [accessed on August 28, 2022]
BeagleBoard, “BeagleBone AI computer” https://beagleboard.org/AI. [accessed on August 28, 2022]
Radxa, “System on Module Rock Pi N10 ” https://rockpi.org/. [accessed on August 28, 2022]
HiKey “hikey970 board is made for developers ” https://www.96boards.org/product/hikey970/. [accessed on August 28, 2022]
A. Koubaa and B. Qureshi, “DroneTrack: Cloud-Based Real-Time Object Tracking Using Unmanned Aerial Vehicles over the Internet,” IEEE Access, vol. 6, pp. 13810–13824, 2018, doi: 10.1109/ACCESS.2018.2811762.
A. Rohan, M. Rabah, and S. H. Kim, “Convolutional Neural Network-Based Real-Time Object Detection and Tracking for Parrot AR Drone 2,” IEEE Access, vol. 7, pp. 69575–69584, 2019, doi: 10.1109/ACCESS.2019.2919332.
C. Li, X. Sun, and J. Cai, “Intelligent Mobile Drone System Based on Real-Time Object Detection,” J. Artif. Intell., vol. 1, no. 1, pp. 1–8, 2019, doi: 10.32604/jai.2019.06064.
C. Huang, P. Chen, X. Yang, and K. T. T. Cheng, “REDBEE: A visual-inertial drone system for real-time moving object detection,” IEEE Int. Conf. Intell. Robot. Syst., vol. 2017-Septe, pp. 1725–1731, 2017, doi: 10.1109/IROS.2017.8205985.
B. Ramtoula, A. Caccavale, G. Beltrame, and M. Schwager, “MSL-RAPTOR: A 6DoF Relative Pose Tracker for Onboard Robotic Perception,” Springer Proc. Adv. Robot., vol. 19, pp. 520–532, 2021, doi: 10.1007/978-3-030-71151-1_46.
S. Hossain and D. Lee, “Detection and Tracking from Aerial Imagery via a Flying Robot with GPU-Based Embedded Devices,” Sensors, 2019.
Z. J. of S. U. of T. S. T. O. V. T. F. U.’ S. Naukowe, P. Śląskiej, and S. Transport, “Scientific Journal of Silesian University of Technology. Series Transport Onboard Visual Tracking for Uav’ S,” vol. 105, 2019.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Abbas Aqeel Kareem, Dalal Abdulmohsin Hammood, Ruaa Ali Khamees, Nurulisma Binti Hj. Ismail
This work is licensed under a Creative Commons Attribution 4.0 International License.