In　order　to　improve　the　real-time　of　global　motion　estimation,　we　proposed　a　adaptive　global　motion　estimation　method　based　on　improved　SUSAN　algorithm　and　SIFT　algorithm.　According　to　the　five　matching　results　before　the　current　matching,　the　method　uses　Kalman　filter　algorithm　to　predict　overlap　regions　of　the　current　matching　two　images,　and　then　extracts　feature　points　in　the　overlapping　regions　instead　of　the　whole　regions　of　the　images.　In　the　part　of　extracting　feature　points　of　the　method,　improving　the　SUSAN　algorithm　according　to　the　geometric　characteristics　of　the　SUSAN　templates,　which　improves　the　speed　of　extracting　feature　points.　Writing　code　to　implement　the　method　in　VS2008,　and　experimental　verification:　This　method　accelerates　the　executing　speed　of　the　algorithm　ensuring　the　accuracy　at　the　same　time.　©　2013　IEEE.