MATLAB Program for Background Extraction Using Frame Difference Method

This MATLAB program implements background analysis using the frame difference method with the following implementation approach: First, load the required image sequence, ensuring the sequence contains both foreground objects and background scenes. The program utilizes MATLAB's imread function within a loop to sequentially process all frames from the video or image sequence. Next, according to the frame difference principle, calculate the absolute difference between each frame and its previous frame using the absdiff function. This differential operation helps identify moving foreground objects by highlighting pixel-wise changes between consecutive frames. The algorithm effectively detects areas with significant intensity variations while ignoring static background regions. Then, perform binarization processing on the difference images using a thresholding technique. The program implements Otsu's method or a user-defined threshold via the imbinarize function to separate foreground objects from the background. This creates a binary mask where foreground pixels are marked as 1 (white) and background as 0 (black). After foreground extraction, overlay the detected foreground objects onto the original images using logical indexing and matrix operations. The program combines the binary mask with the original frame through element-wise multiplication to visually highlight moving objects while maintaining background context. Finally, validate the program's performance using sample test images. The implementation includes comprehensive testing with various scenarios to ensure accurate background analysis functionality. The program outputs both intermediate processing results and final overlayed images for visual verification. Through these systematic steps, this MATLAB program effectively performs background analysis using the frame difference method, providing clear sample outputs and robust implementation details for technical applications.