Fog-Assisted Abnormal Motion Detection System: A Semantic Ontology Approach

This paper proposes a fog-assisted abnormal motion recognition system utilizing an ontology-based semantic algorithm to bolster security within university campuses under real-time surveillance and incorporates a context-aware refinement step aimed at enhancing detection accuracy.