This　paper　presents　an　automatic　methodology　to　stitch　multiple　videos　from　different　views　together　based　on　foreground　extraction.　Although　video　stitching　technique　has　been　studied　by　many　researchers,　the　stitching　results　are　still　limited　by　the　challenges　caused　by　the　moving　objects,　especially　the　foregrounds　that　are　notably　close　to　the　cameras.　The　method　was　mainly　concerned　with　the　inaccurate　registration　and　the　stitching　ghost　caused　by　the　moving　foreground　in　the　videos.　The　background　frames　of　the　videos　were　extracted　and　registered　to　find　out　the　correlation　between　them.　The　moving　objects　that　were　separated　from　the　background　frames　were　sent　to　a　different　function　to　find　out　whether　the　objects　from　different　videos　represented　the　same　one　caught　in　matching　views.　The　objects　were　then　chosen　as　block　to　be　mosaiced　back　or　dissolved　to　avoid　ghost　caused　by　directly　stitching.　Experimental　results　show　that　it　is　a　highly-matched　and　robust　video　stitch　algorithm,　and　can　basically　achieve　real-time　stitch.