Detecting　and　segmenting　moving　object　is　an　important　subject　in　computer　visual　analysis.　Firstly,　the　algorithms　of　detecting　moving　target　from　static　background　in　video　sequences　are　discussed　in　this　paper.　Secondly,　as　the　inter-frame　subtraction　can＇t　detect　moving　object　accurately　and　mixture　Gaussian　models　can＇t　solve　the　problems　such　as　ghost,　shadow　and　real-time　application,　a　new　method　based　on　edge-characteristic　and　inter-frame　difference　is　proposed.　In　this　method　the　target　foreground　object　can　be　segregated　completely　by　filling　the　edge　map.　Finally,　combined　with　mathematical　morphology　and　connectivity　analyzing,　noise　can　be　reduced　and　gaps　can　be　smoothed　out.　Experimental　results　show　that　the　proposed　algorithm　can　get　exact　moving　object　quickly　from　complex　background　and　eliminate　disturbing　of　background　and　the　illumination　changes　efficiently,　with　operating　time　reducing　dramatically.　©　2009　IEEE.