An　adaptive　template　matching　method　for　human　eye　location　is　proposed　by　using　ordinary　web　camera.　Face　video　is　captured　by　using　an　ordinary　web　camera.　The　face　region　is　firstly　detected　by　applying　face　detection　algorithm　based　on　Haar-like　feature.　The　pupil　position　in　human　face　frame　is　determined　based　on　Gabor　transform　eye　location　method,　which　is　used　as　an　initial　eye　template.　The　following　eyes　are　located　by　matching　the　pupil　in　previous　frame　as　adaptive　template.　Experimental　results　show　that　the　proposed　eye　location　method　is　more　accuracy　than　the　traditional　eye　template　matching　method.　©　2010　IEEE.