Motion Target Detection Using Background Subtraction Method

MATLAB background subtraction algorithm for motion detection, involving background model establishment, frame-by-frame subtraction between current and background models, threshold comparison for target identification. Larger differences indicate motion targets while smaller differences suggest no movement. Optimal threshold can be empirically adjusted through parameter tuning for improved detection accuracy. Code implementation typically uses imabsdiff() function for difference calculation and imbinarize() for thresholding operations.