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In order to reduce background interferences, a motion detection method combined with background subtraction and salience value filtering is presented. This method takes the motion detection method called VIBE as a pretreatment process for locating suspicious object regions. And on these regions, it presents a calculation method of salience value based on sparse representation and group Lasso regression, to calculate the salience value of image blocks in these suspicious regions. Finally, it reduces background interferences by filtering out suspicious regions with too small salience values, for improving the precision of motion detection. Simulation results on sub-dataset of Changedetection.net show that, this method has high recall and precision, meanwhile has less average detection time.