Moving object detection is an important part of computer vision research. In order to eliminate the phenomenon of inanition

shadow and false edge

an novel algorithm of moving object detection based on five-frame-differencing and background edge-characteristic difference in the static background

is presented in this paper. Firstly

a background model is based on improved algorithm of Canny edge detection

the edge of motion object is gained by the background edge-characteristic difference

and then

it is combined with five-frame differencing to detect the motion object. Finally the complete and accurate object is extracted with morphologic filtering and connectivity detecting. The result shows the present algorithm runs quickly and veraciously and fits for real time detection.