This　paper　proposes　a　scheme　of　traffic　signs　recognition　and　tracking　based　on　feature　color　and　SNCC　algorithm,　which　is　used　in　traffic　signs　recognition　and　tracking　of　intelligent　vehicles.　In　YCbCr　color　space,　color　segmentation　of　the　traffic　scene　images　is　calculated,　and　traffic　sign　regions　are　obtained.　According　to　background　and　interior　color　feature　of　the　standard　traffic　signs,　background　and　interior　color　matching　templates　of　traffic　signs　color　feature　are　designed.　The　background　and　the　interior　color　matching　templates　are　as　the　matching　templates,　the　template　matching　technology　and　the　SNCC　algorithm　to　calculate　matching　degree　are　used　to　draw　and　recognize　the　images　of　traffic　signs.　In　the　Matlab/Simulink　environment,　the　simulation　model　is　established　by　using　video　and　image　processing　blockset　and　User-Defined　Functions　module.　Based　on　simulation　model,　recognition　results　and　the　tracking　of　the　traffic　signs　in　the　traffic　scene　video　are　given.　The　experimental　results　show　that　the　scheme　of　traffic　signs　recognition　and　tracking　can　improve　the　efficiency　of　the　system,　and　has　less　calculation　amount,　and　has　the　better　recognition　effect.