Object Tracking Framework for Unmanned Aerial Vehicles

Abstract

Object tracking is a computer vision problem that gained attention in the past few decades. Numerous algorithms targeting various challenges associated with object tracking have been proposed to address issues related to multiple objects tracking, handling complex scenarios like fog and occlusions, and other subproblems within the object tracking area. On the other hand, the extensive use of Unmanned Aerial Vehicles (UAVs) or Drones is increasing exponentially all around the world for a variety of applications. Object tracking using drones has an enormous number of applications, especially in smart transportation system. In this paper, we present a lightweight infrastructure-less object tracking system and assess its performance using the VICON motion capture system. The performance results obtained was very close to that of the optimal infrastructure-based solution.