Motion Target Detection Using Background Subtraction Method

In this implementation using MATLAB programming language for motion target detection, we employ the background subtraction method. The algorithm begins by establishing a stable background model, often through averaging multiple initial frames or using Gaussian mixture models. Then, we subtract the current frame from the background model using matrix operations - commonly implemented with the imabsdiff() function which calculates the absolute difference between two images. The resulting difference image is compared against a predefined threshold value. When the difference exceeds the threshold, it indicates the presence of a motion target; when below threshold, no movement is detected. Through systematic threshold debugging using tools like imbinarize() or manual threshold adjustment, optimal values can be determined based on empirical experience to achieve more accurate motion detection. The implementation typically involves morphological operations like imopen() and imclose() to reduce noise in the final binary result.