Computer Science ›› 2016, Vol. 43 ›› Issue (3): 296-300.doi: 10.11896/j.issn.1002-137X.2016.03.055

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Background Subtraction Based on Color and Local Binary Similarity Pattern

REN Dian-yuan, WANG Wen-wei and MA Qiang   

  • Online:2018-12-01 Published:2018-12-01

Abstract: As the ViBe(Visual Background Extractor) algorithm is not adaptable enough for illumination variation and dynamic background,an improved ViBe algorithm was proposed.The new algorithm builds the background model with color feature and local binary similarity pattern (LBSP) against illumination variation.A twice spatial diffusion process is introduced to speed ghost-eliminating in the model-update phase.A self-adaptive threshold is obtained via the stan-dard deviation of the current pixel and its neighborhoods in order to inhibit disturbances from dynamic background with a more quick response.Experimental results on the Change Detection dataset show that the new algorithm can rapidly suppress ghosts while keeping a slow inclusion of real static foreground objects and can adapt to complex dynamic background and illumination variation.Compared with the ViBe algorithm,its F-measure is improved by 19.29%.

Key words: Visual background extractor,Local binary similarity pattern,Ghost,Self-adaptive threshold,Dynamic background

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