Weighted Low-Rank Decomposition for Robust Grayscale-Thermal Foreground Detection

This paper investigates how to fuse grayscale and thermal video data for detecting foreground objects in challenging scenarios. To this end, we propose an intuitive yet effective method called weighted low-rank decomposition (WELD), which adaptively pursues the cross-modality low-rank representation...

Ausführliche Beschreibung