Enhanced Object tracking in videos: integrating CEDSegNet with adjusted covariance-based mean shift algorithm
This study introduces a novel approach that integrates a customized encoder–decoder SegNet model with a mean shift algorithm enhanced by an adjusted covariance method (MSACM) for accurate object tracking in videos, demonstrating that efficient object tracking can be achieved without HPC infrastructure.