This paper presents an improved moving object
detection algorithm based on frame difference and
edge detection. This method not only retains the small
calculation from frame difference method and the
impregnability of light from edge detection method,
but also improves in noise restraining. Meanwhile, it
divides the image to small blocks to do connected
component labeling, significantly speeding up the
detection. Experimental results show that the algorithm
has great recognition rate, high speed, and will be a
good candidate for practical systems.