Enhanced Crowd Counting Using Patch-Level Annotation with YOLO Deep Learning
A new crowd counting framework is proposed based on patch-level annotation and YOLO (You Only Look Once) deep learning architecture to improve detection performance and real-time processing capability and surpasses state-of-the-art approaches in accuracy, robustness, and computational efficiency.