Public space monitoring systems are critical for observing typical human behavior and detecting abnormal activities, especially in high-security environments. With the rise in public space thefts, there is a growing need for intelligent systems capable of detecting suspicious movements early enough to prevent criminal acts. Although Convolutional Neural Networks (CNNs) are widely used in image classification, they are inadequate to differentiate between abnormal and normal behavior and identify criminal activity i…