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: Introduces a classification scheme for surveillance images using deep learning and data augmentation to handle varying camera resolutions. Feature-Based Approaches :

: Proposes a method using YOLO and ResNet-50 to detect and classify vehicles into four size categories and eight color categories with high accuracy. vehicle*type

Several research papers focus on the classification and recognition of using various computational methods, primarily for intelligent traffic management and autonomous driving. Key research papers and their focus areas include: Deep Learning and Computer Vision : : Introduces a classification scheme for surveillance images

: Explores both geometric and appearance-based approaches for multi-class and intra-class vehicle classification. vehicle*type