2D Normalized Cross-Correlation for Pattern Matching and Target Tracking

This program demonstrates the application of 2D normalized cross-correlation for pattern matching and target tracking. Users are prompted to select regions of interest (ROI) and specify the number of similar targets to track. The normalized cross-correlation heatmap indicates target detection when values exceed a predefined threshold. The implementation utilizes sliding-window correlation techniques with efficient matrix operations for real-time performance.