Hydrogen　leakage　diagnosis　has　attracted　more　and　more　attention,　especially　in　the　high　-pressure　hydrogen　system　of　fuel　cell　vehicles,　where　the　chance　of　deflagration　is　quite　high.　Traditional　methods　for　detecting　gas　leaks　rely　on　stationary　sensor　measurements　and　manual　inspections.　Manual　inspections　are　time　and　resourceconsuming,　and　it　is　challenging　to　achieve　real　-time,　comprehensive　inspections　in　large　spaces.　In　this　study,　a　new　Adaptive　Stream　Stripe-Background　Oriented　Schlieren　(ASS-BOS)　method　for　hydrogen　jet　visualization　is　proposed.　Three　different　background　patterns,　namely　random　scatter　background,　checkerboard　background,　and　stripe　background,　are　designed　for　multiple　experiments.　The　results　show　that　when　observing　hydrogen　jets　in　the　far　-field　region　(low-density　gradient),　ASS-BOS　has　higher　accuracy　and　resolution,　detects　larger　background　displacements,　and　shows　more　turbulence　details.　In　addition,　the　concentration　distribution　of　the　hydrogen　jet　is　reconstructed　using　ASS-BOS.　We　compare　the　concentration　of　the　hydrogen　jet　obtained　from　the　inversion　of　the　ASS-BOS　method　with　the　experimental　results　measured　by　the　sensor.　We　find　that　the　average　error　is　3.45%,　indicating　that　ASS-BOS　can　accurately　reconstruct　the　concentration　distribution　of　the　hydrogen　jet.