A background subtraction algorithm based on  biological vision characteristics

doi:10.3969/j.issn.0253-2778.2014.04.003

Abstract

Abstract: For the problem of how to build a robust background model and update the background model, a background subtraction algorithm based on biological vision characteristics combined with the ViBe algorithm was proposed. Firstly, utilizing the extrinsic nearsightedness characteristic of the frogs visual system, the meaning of a pretreatment method called “region fuzzy” and its implementation were described. Then, considering the characteristics of color cognition by humans, a measurement criterion for color difference based on Webers law in the LUV color space was given. Finally, specific implementations of the algorithm were introduced from three main aspects: Background modeling, foreground detection and background model updating. Experimental results show that this algorithm can improve the accuracy of moving object detection.

Key words: biological vision, region fuzzily understanding, Webers law, background subtraction, moving object detection

CLC Number:

TP391

QIAN Sheng, ZHANG Chenbin, CHEN Zonghai, WANG Zhiling. A background subtraction algorithm based on biological vision characteristics[J]. Journal of University of Science and Technology of China, 2014, 44(4): 270-277.

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A background subtraction algorithm based on biological vision characteristics

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