A　novel　algorithm　for　automatic　and　dynamic　camera　calibration　based　on　dark　channel　prior　in　homogenous　fog　weather　condition　is　presented　in　this　paper.　Three　main　steps　are　included　in　the　algorithm.　Firstly,　current　weather　condition　will　be　judged　to　justify　whether　it　is　homogenous　weather　condition　or　not　based　on　area　search　method　(ASE).　Secondly,　traffic　road　plane　will　be　found　by　activity　map　created　by　calculating　the　expected　value　of　the　absolute　intensity　difference　between　two　adjacent　frames.　Finally,　transmission　image　will　be　obtained　by　dark　channel　prior.　Intrinsic　and　extrinsic　parameters　of　the　camera　will　be　calculated　based　on　the　parameter　calibration　formula　deduced　from　camera　model　and　light　transition　model　in　fog.　In　this　step　eight　key　points　for　generating　necessary　calculation　equations　in　transmission　image　in　road　plane　will　be　selected　to　calibrate　the　camera.　Experiments　verify　the　effectiveness　and　the　robustness　of　the　proposed　algorithm.　©　2013　Inderscience　Enterprises　Ltd.