MATLAB Code for Moving Object Detection Using Frame Difference Method

This document provides MATLAB code for moving object detection using the frame difference method. The implementation begins by reading an AVI video file and extracting individual frames using MATLAB's VideoReader function. Each frame is then processed through a frame difference algorithm where consecutive frames are subtracted to detect moving regions. The core algorithm involves converting frames to grayscale, applying Gaussian filtering for noise reduction, and calculating absolute differences between frames. Object tracking is accomplished through blob analysis and centroid tracking methods, which maintain the position and motion trajectory of detected objects across successive frames. Thresholding techniques are applied to differentiate moving objects from background noise, with morphological operations used to refine detection results. This MATLAB code provides a practical foundation for experiments and research in motion detection and video surveillance applications, featuring adjustable parameters for sensitivity optimization and real-time performance analysis.