Joint frame rate adaptation and object recognition model selection for stabilized unmanned aerial vehicle surveillance

Author:

Kim Gyu Seon1ORCID,Lee Haemin1ORCID,Park Soohyun1ORCID,Kim Joongheon1ORCID

Affiliation:

1. Department of Electrical and Computer Engineering Korea University Seoul Republic of Korea

Abstract

AbstractWe propose an adaptive unmanned aerial vehicle (UAV)‐assisted object recognition algorithm for urban surveillance scenarios. For UAV‐assisted surveillance, UAVs are equipped with learning‐based object recognition models and can collect surveillance image data. However, owing to the limitations of UAVs regarding power and computational resources, adaptive control must be performed accordingly. Therefore, we introduce a self‐adaptive control strategy to maximize the time‐averaged recognition performance subject to stability through a formulation based on Lyapunov optimization. Results from performance evaluations on real‐world data demonstrate that the proposed algorithm achieves the desired performance improvements.

Publisher

Wiley

Subject

Electrical and Electronic Engineering,General Computer Science,Electronic, Optical and Magnetic Materials

Reference33 articles.

1. Deep Learning for Unmanned Aerial Vehicle-Based Object Detection and Tracking: A Survey

2. M.Choi W. J.Yun andJ.Kim Delay‐sensitive and power‐efficient quality control of dynamic video streaming using adaptive super‐resolution arXiv preprint2021. arXiv:2110.05783.

3. Workload-Aware Scheduling Using Markov Decision Process for Infrastructure-Assisted Learning-Based Multi-UAV Surveillance Networks

4. Efficiency‐boosting federated learning in wireless networks: a long‐term perspective;Ji Y.;IEEE Trans. Veh. Technol.,2023

5. Age of Information in Energy Harvesting Aided Massive Multiple Access Networks

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