School of Electronic Engineering and Computer Science

Seminar: MMV - Learning Techniques for Automated Detection and Tracking of Drone

11 May 2018

Time: 4:00 - 5:00pm
Venue: Queen Mary Graduate Centre: GC603

Title: Learning Techniques for Automated Detection and Tracking of Drone

Speaker: Xindi Zhang

Unmanned Aerial Vehicles (UAV), Remotely Piloted Air Systems (RPAS),also known as DRONES. The threat associated with the misuse drones for malicious and terrorist activity has been increased. So, it is necessary to ensure the safety and security of safe deployment of commercial drones. Our goal is to develop an intelligent system that enables automatic, precise, objective and reproducible detection of drone and precise tracking of the drone’s movement.
Our system has three parts: the machine learning algorithm for drone detection and tracking, the pan-tilt-zoom camera for capturing video, the combination control system for camera movement to tracking object continuously.
Xindi Zhang received the Bachelor degree in Telecommunication Engineering in 2017, from Beijing University of Posts and Telecommunications. Now she is a first year PhD student at Multimedia and Vision Group, Queen Mary University of London. Her work focuses on machine learning and computer vision.