Background Subtraction using Video Frame Difference Algorithm Implementation

In this document, I will introduce the principles and implementation methods of background subtraction using the video frame difference algorithm. The video frame difference algorithm is a commonly used image processing technique for extracting foreground objects from video sequences. This algorithm detects moving targets by comparing pixel differences between consecutive frames, thereby achieving background subtraction effects. In this implementation, I will demonstrate how to implement the video frame difference algorithm using MATLAB code, including key functions such as frame reading, difference calculation, and thresholding operations. The algorithm typically involves reading video frames sequentially, computing absolute differences between current and previous frames, applying threshold values to identify significant changes, and generating binary masks for foreground detection. This technique is highly valuable and finds applications in various fields including video surveillance systems, motion analysis, and object tracking. The enhanced documentation provides comprehensive insights into both theoretical foundations and practical implementation aspects of frame difference-based background subtraction.