To　effectively　improve　the　low　contrast　of　human　body　region　in　the　infrared　images,　a　combing　method　of　several　enhancement　methods　is　utilized　to　enhance　the　human　body　region.　Firstly,　for　the　infrared　images　acquired　by　Kinect,　in　order　to　improve　the　overall　contrast　of　the　infrared　images,　an　Optimal　Contrast-Tone　Mapping　(OCTM)　method　with　multi-iterations　is　applied　to　balance　the　contrast　of　low-luminosity　infrared　images.　Secondly,　to　enhance　the　human　body　region　better,　a　Level　Set　algorithm　is　employed　to　improve　the　contour　edges　of　human　body　region.　Finally,　to　further　improve　the　human　body　region　in　infrared　images,　Laplacian　Pyramid　decomposition　is　adopted　to　enhance　the　contour-improved　human　body　region.　Meanwhile,　the　background　area　without　human　body　region　is　processed　by　bilateral　filtering　to　improve　the　overall　effect.　With　theoretical　analysis　and　experimental　verification,　the　results　show　that　the　proposed　method　could　effectively　enhance　the　human　body　region　of　such　infrared　images.