Abstract: This paper focused on object detection．Motivated by the drawbacks of existing background update algorithms that are noise sensitive and slow in execution,an improvement on moving object detection method was proposed by image adaptive blocking and block-wise structure similarity of inter-frames．An initial background model was obtained with a few beginning frames and every successive frame was divided into blocks．Over corresponding blocks of two neighboring frames,a similarity was defined in order to update the background model．The moving objects were then obtained by subtracting the background model from the current frame．Experimental results demonstrate that the improved method has better performance than traditional methods.

Key words: Moving object detection,Adaptive blocking,Structure similarity of inter-frames