Recently, drones, or Unmanned Aerial Vehicles (UAVs), have emerged as a transformative technology, finding applications in diverse fields ranging from surveillance to Search and Rescue (SAR) operations. Within these applications, the capabilities of object detection and multi-object tracking (MOT) are of paramount importance, because they allow the drone to recognize and keep trace of the movement of targets without the need for human intervention. While there has been significant research in the domain of multiple-camera multi-object tracking, much of it has been conducted in an offline context. The challenge of online multi-object tracking, especially from moving aerial cameras (bird-eye view), remains relatively unexplored.