A review of UAV Visual Detection and Tracking Methods

Raed Abu Zitar (1, 2, 3, 4) , Mohammad Al-Betar , Mohamad Ryalat , Sofian Kassaymeh

1 Sorbonne university Abu Dhabi
2 SU - Sorbonne Université
3 SCAI - Sorbonne Center for Artificial Intelligence
4 THALES [France]

This paper presents a review for techniques used for the detection and tracking of UAV's or drones. There are different techniques that depends on collecting measurements of the position, velocity, and image of the UAV and then using them in detection and tracking. Hybrid detection techniques are also presented. The paper is a quick reference for wide spectrum of methods that are used in drones detection process.

Mots clés: Drone; tracking; Classification; Detection; Measurements; Drone; Tracking

Domaines: Informatique [cs]; Informatique [cs]; Sciences de l'ingénieur [physics]

Raed Abu Zitar, Mohammad Al-Betar, Mohamad Ryalat, Sofian Kassaymeh. A review of UAV Visual Detection and Tracking Methods. 9th Annual Conf. on Computational Science & Computational Intelligence (CSCI'22), Dec 2022, Las Vegas, United States. ⟨hal-04108638⟩