This paper makes improvements on motion detection method which combines frame difference and background subtraction

specifically in three areas: the use of gray transform and neighborhood correlation coefficient integrated with gray value information effectively solved the problem of misdetection of moving targets; the motion evaluation step introduced in combining strategy of frame difference and background subtraction solved the problem of miss detection of slow movement targets; and the use of running average updating method to update the background model prevented the background model from degradation. Experimental results show that the improved methods have significantly solved the problems of misdetection of moving targets

miss detection of slow movement targets and background model degradation.