Detecting　vehicles　in　video　is　a　challenging　problem　owing　to　the　motion　of　vehicles,　the　camera　and　the　background　and　to　variations　of　speed.　This　paper　proposes　a　classifier　based　supervised　method　to　detect　moving　vehicles　from　a　moving　camera.　Dense　scale　invariant　feature　transform　(dense　SIFT)　descriptors　are　used　as　features　to　describe　the　pattern　of　the　object.　And　Extreme　Learning　Machine　provides　excellent　generalization　performance　at　fast　speed.　Our　sample　images　taken　by　a　camera　in　helicopter　include　2000　images.　Experiment　results　shown　that　this　proposed　method　has　not　only　good　overall　performance　but　also　low　computational　cost.