VOAMAIS

Computer Vision for the Operation of Unmanned Aerial Vehicles in Maritime and Wildfire Scenarios

Mission of the Project

The primary objective of the project is to develop novel methods for target detection and tracking in airborne and seaborne image sequences. The availability of low-cost visual sensors (visible and IR), and the recent developments on convolutional neural-networks and correlation filters for image and video processing, are promising cost-effective and energy-efficient solutions for detection and tracking of targets capable of running on-board of air or sea vehicles. The results of the project can have a direct impact on strategic national activities such as ocean and forest monitoring. To demonstrate the applicability of the methods, three case scenarios will be considered: (i) the detection of forest fires from airborne images, (ii) the detection and tracking of sea vessels from airborne and seaborne images, and (iii) the detection, tracking and pose estimation of aircrafts from seaborne images for tele-guidance of unmanned aerial vehicles (UAV's).