A Multi-Camera Temporal Fusion for False Alarm Suppression in Edge-Based Weapon Surveillance
A lightweight Adaptive Multi-Camera Temporal Fusion (ACTF) framework that combines confidence-aware evidence separation, temporal persistence, and short-window cross-camera validation at the decision level, thereby confirming detections without requiring additional neural-network inference is proposed.