Moving　object　detection　is　an　important　application　of　computer　vision.　Commonly　used　foreground　separation　algorithms　such　as　Gaussian　mixture　modeling,　ViBe,　frame　difference　method,　etc.,　do　not　consider　the　color　of　shadow　and　recognize　the　shadow　of　a　moving　object　as　a　part　of　the　moving　object.　In　many　cases,　the　shadow　detection　effect　is　not　good.　Focus　on　the　detection　of　moving　object　shadows　in　traffic　surveillance　videos,　this　paper　improves　the　existing　ViBe　algorithm,　considers　the　color　characteristics　of　the　shadows,　recognizes　the　shadows　as　part　of　the　background,　gains　a　smaller　amount　of　calculation　and　better　effect　of　shadow　detection　with　the　advantages　of　ViBe.　©　2020　IEEE.