In　this　paper,　we　propose　to　address　online　visual　tracking　on　the　basis　of　Local　Coordinate　Coding　(LCC),　which　integrates　the　advantages　of　the　discriminative　method　and　the　generative　method.　In　the　discriminative　module,　a　nonlinear　function　is　trained　using　the　local　coordinate　codes　of　image　patches　to　identify　the　foreground　patches　from　background.　In　the　generative　module,　we　introduce　a　similarity　function　that　takes　the　spatial　structures　of　local　patches　in　the　target　into　account　between　the　candidate　and　holistic　templates　by　reconstruction　error.　To　deal　with　appearance　change　during　tracking,　an　online　update　method　is　introduced.　The　proposed　tracking　method　is　evaluated　on　different　challenging　video　sequences　with　center　location　error,　and　experimental　results　demonstrate　the　good　performance　of　our　method.　©　2014　IEEE.