Moving object detection method based on background subtraction
Na He · Computer Engineering and Applications Journal · 2011
Combining the thoughts of image intensity normalization and two-dimensional cross-entropy,a moving object detection algorithm,which is robust against illumination changes,is presented.The intensity of each video frame image is normalized.The background is initialized by an improved mean filtering method,which can get a satisfying background image even if an object appears.The background is updated automatically.The moving objects are detected by using an adaptive threshold based on two-dimensional cross-entropy to segment the background subtraction image.Experimental results demonstrate that this algorithm is quick,effective and robust against changes of illumination.