A Multimodal Weighted-Fusion Framework for Real-Time Suspicious Activity Detection Using EfficientNet-B0, MediaPipe Pose Landmarks, and XGBoost
Detecting suspicious human activity in indoor surveillance environments is a safety-critical task where reliance on a single visual modality consistently leads to performance degradation under real-world conditions. Appearance-based convolutional models struggle with lighting variation and cluttered backgrounds, while...