Detecting moving objects by background difference and frame-difference

摘要

The performances of Background Difference Method and Frame-difference Method for detecting moving objects are analyzed. It is found that as the second method is characterized by being sensitive only to moving objects, it can be used to update the background image, an important step for the first method. A new technique integrating both methods is then proposed. Using the consecutive frames differencing images and the detection result of the previous frame, we restore background model, which can be utilized later to eliminate the detection error caused by the Frame-difference Method. Based on this truth, we design a detecting system to realize the new algorithm. Experiments on indoor and outdoor video streams show that the new technique has strong adaptability and veracity.