Vehicle Detection Method Using Haar Features and SRC (Sparse Representation Classification) with Implementation Code

Implementation of a vehicle detection method using Haar features combined with SRC (Sparse Representation Classification). The provided files include training and test vehicle images. Note: The Haar features haven't been optimized due to time constraints, resulting in high dimensionality and slow sliding window processing. The code outputs performance statistics for reference, demonstrating sparse representation applications in vehicle detection. Key implementation aspects include feature extraction using Haar-like features and classification via sparse coding optimization algorithms.