MATLAB Source Code for Pedestrian Segmentation from Background

This program provides MATLAB source code for separating pedestrians from background using pre-extracted HOG features. The implementation includes both blocked and non-blocked feature extraction approaches, where blocking involves dividing images into smaller segments for more detailed feature representation. Classification is performed using minimum Euclidean distance method for enhanced pedestrian detection accuracy.

Pedestrian Detection and Tracking in Videos Using Frame Difference Method from Motion Target Detection

This implementation utilizes the frame difference method for motion target detection to effectively detect and track pedestrians in video sequences, demonstrating excellent performance that can serve as a valuable reference for learning and implementation.