In　this　paper,　we　propose　a　multi-camera　video　stitching　method　based　on　an　improved　optimal　stitch　line　and　multi-resolution　for　real-time　application.　First,　phase　correlation　is　used　to　estimate　overlapping　fields　between　multiple　videos,　where　SURF　feature　points　are　extracted　for　image　registration　to　save　computation　time　and　improve　the　matching　accuracy.　Then,　a　fusion　algorithm　combining　the　improved　optimal　stitch　line　and　multi-resolution　algorithms　is　devised　to　improve　visual　effects　by　eliminating　ghosting　and　any　visible　seams.　In　the　fusion　stage,　GPU　acceleration　is　employed　to　speed　up　the　video　stitching.　Experiments　show　that　the　proposed　algorithm　has　better　and　real-time　performance　compared　with　traditional　video　stitching　methods.　©　Springer　International　Publishing　AG　2017.