Dynamic blur association rule extraction method in real-time visual tracking
A dynamic blur-aware association rule extraction framework is presented for real-time visual tracking in environments characterized by severe and varying motion blur, frequent occlusions, and rapid background changes. The approach innovatively models blur as a spatially and temporally variant process, embedding local b...