In recent years, the small-scale drones have gained a growing interest in industry and in academia since they are widely available and have many potential applications. The integration of intelligent camera into drone systems broadens the range of potential drone applications and enhances the performance of the drone. However, how to design and implement the […]

In recent years, face recognition algorithms based on deep neural networks have achieved human-level performance when tested on face recognition database. However, when put into real-world application, those algorithms are not robust enough, due to factors such as different lighting conditions, camera distance, and face orientations. In this project, the university team and the partner […]

Recently there has been a growing adoption of Unmanned Aerial Vehicles (UAVs) in many applications. Robust object detection and tracking algorithms are required in many UAV scenarios. However, existing object detection and tracking approaches are not specifically designed for UAV and therefore do not have satisfactory performance in UAV. In this MITACS cluster project, by […]