Local　Binary　Pattern　(LBP)　was　designed　and　has　been　widely　used　for　efficient　texture　classification.　LBP　provides　a　simple　and　effective　way　to　represent　texture　patterns.　Uniform　LBPs　play　an　important　role　for　LBP-based　pattern/object　recognition　as　they　include　majority　of　LBPs.　On　the　other　hand,　Human　detection　based　on　Mahalanobis　Distance　Map　(MDM)　recognizes　appearance　of　human　based　on　geometrical　structure.　Each　MDM　shows　a　clear　texture　pattern　that　can　be　classified　using　LBPs.　In　this　paper,　we　compute　LBPs　of　MDMs　on　a　hexagonal　structure.　The　circular　pixel　arrangement　in　hexagonal　structure　results　in　higher　accuracy　for　LBP　representation　than　on　square　structure.　Chi-square　as　a　measure　is　used　for　human　detection　based　on　uniform　LBPs　obtained.　We　show　that　our　method　using　LBPs　built　on　MDMs　has　a　higher　human　detection　rate　and　a　lower　false　positive　rate　compared　to　the　method　merely　based　on　MDMs.　We　will　also　show　using　experimental　results　that　LBPs　on　hexagonal　structure　lead　to　more　robust　human　classification.