In　this　paper,　we　present　a　original　depth　video　coding　method　based　on　Gaussian　mixture　models　(GMM)　and　compressive　sensing　(CS).　Depth　video　sequences　firstly　are　divided　into　a　set　of　group　pictures　(GOP)　which　have　only　one　key　frame　and　eight　Wyner-Ziv　frames.　The　conventional　coding　method,　i.e.　H.264　Intra　coding　is　chosen　to　compress　the　key　frame　and　the　reconstructed　frames　are　used　for　side　information　(SI).　For　one　GOP,　we　acquire　differences　between　the　SI　of　key　frame　and　eight　Wyner-Ziv　frames.　Then,　we　utilize　the　CS　to　compress　those　differences　in　the　temporal　direction　to　obtain　one　compressive　sensing　depth　differences　(CSDD).　The　CSDD　is　quantized　by　our　product　vector　quantifier　based　on　GMM.　At　decoder,　we　reconstruct　Wyner-Ziv　frames　and　merge　the　key　frame　to　form　output　videos.　Experiment　results　show　that　our　method　is　regarded　as　an　effective　coding　method.