Current　approaches　of　human　body　skeleton　extraction　mainly　suffer　from　following　problems:　insufficient　temporal　and　spatial　continuity,　unrobust　to　background,　ambient　noise,　etc.　This　paper　proposes　a　three-dimensional　human　body　skeleton　extraction　method　from　consecutive　meshes.　We　extract　the　consistent　skeletons　from　consecutive　surfaces　based　on　shape　segmentation　and　skeleton　sequences;　then,　we　present　a　spatiotemporal　skeleton　optimization　model　to　adjust　the　skeleton　sequences.　Experiments　on　multiview　images　captured　from　a　light　field　device　demonstrate　that　our　method　captures　more　complete　and　accurate　skeletons　compared　to　state-of-the-art　methods.