Multi-Scale and Deformable Object Detection Model Trained with Discriminative Methods

This MATLAB program implements an object detection algorithm based on a multi-scale and deformable object detection model trained using discriminative methods, featuring cascaded detection with deformable part models. The implementation includes pyramid feature computation, part-based template matching, and dynamic programming for efficient object localization, referencing the following two foundational papers in computer vision.