Inner and Outer Frame-Based Continues Object-Tracking for MAV-Based Inspection

In Micro Aerial Vehicle (MAV) based inspection, object detection solutions have enabled the identification of objects of interest in various scenarios. However, achieving complete inspection requires robust object tracking capabilities to address instances where objects exit and re-enter the field of view. This paper introduces a novel approach to address this challenge by proposing a new method for the continuous tracking of stationary objects during MAV-based inspections. The proposed approach is founded upon the principle of inner and outer frame analysis, which divides the tracking process into distinct phases.