Simple Moving Object Detection Algorithm

This article presents a fundamental moving object detection algorithm suitable for introductory learning. The implementation utilizes MATLAB, which provides a user-friendly development environment ideal for programming beginners. The program incorporates essential image processing techniques including background subtraction, image binarization, and morphological operations. In terms of code implementation, the algorithm typically follows this workflow: first capturing reference background frames, then performing frame differencing between current and background frames to detect motion regions. The resulting difference image undergoes thresholding (binarization) to create a binary mask, followed by morphological filtering using operations like erosion and dilation to remove noise and refine object shapes. These techniques form the cornerstone of image processing and computer vision. For students aspiring to advance in these fields, this program serves as an excellent starting point that demonstrates practical application of core concepts through manageable code structure and clear algorithmic steps.