An improved ViBe background subtraction method based on region motion classification

Ying Chu; Jiong Chen; Xia Chen

doi:10.1117/12.2030866

26 October 2013 An improved ViBe background subtraction method based on region motion classification

Ying Chu, Jiong Chen, Xia Chen

Proceedings Volume 8918, MIPPR 2013: Automatic Target Recognition and Navigation; 89180I (2013) https://doi.org/10.1117/12.2030866
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China

Abstract

Motion detection plays an important role in intelligent video surveillance. This paper introduces a particular background subtraction technique called ViBe. This technique updates the background model randomly and it has established model with fast, high precision and fast processing speed. ViBe algorithm provides the method of updated background model, but slowly eliminates ghost region. This paper presents an improved ViBe algorithm based on region motion classification. The algorithm considers the difference of the movement directions of feature points in foreground regions on adjacent frame, and defines a criterion function to evaluate the difference so that can quickly eliminate ghost regions. Experimental results show that the proposed algorithm quickly remove the ghost region and improve the detection accuracy.

Citation Download Citation

Ying Chu, Jiong Chen, and Xia Chen "An improved ViBe background subtraction method based on region motion classification", Proc. SPIE 8918, MIPPR 2013: Automatic Target Recognition and Navigation, 89180I (26 October 2013); https://doi.org/10.1117/12.2030866

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