A Novel Dual-Probe Adaptive Model for Image Change Detection

Change detection is the foremost pre-attention process of visual motion analysis. It provides important preprocessing clues for the following complex visual attention selection and pattern recognition process. In this letter, a novel dual-probe adaptive model of the weak image change signal detection is advanced. Then its basic parameter constraints are analyzed and the numerical analysis of its characteristic is discussed. Simulation results show that the related change detector could capture the tiny change signals in synthetic and nature scenes with noisy background.