19 February 2018 The improvement of VIBE foreground detection algorithm
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Proceedings Volume 10608, MIPPR 2017: Automatic Target Recognition and Navigation; 1060802 (2018) https://doi.org/10.1117/12.2281690
Event: Tenth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2017), 2017, Xiangyang, China
Abstract
VIBE algorithm is one of the effective methods that based on dynamic model, which can deal with the detection of moving objects in the slowly changing background. The traditional VIBE uses a fixed threshold to realize target cutting ,that would result in a poor detection when the target enters a background area whose pixel value is not much different from its own pixel value.Thus,we propose a method of moving target detection based on dynamic threshold in this paper.
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Ahong Xu, Jun Zhang, Jinwen Tian, Daimeng Zhang, Xiaomao Liu, "The improvement of VIBE foreground detection algorithm ", Proc. SPIE 10608, MIPPR 2017: Automatic Target Recognition and Navigation, 1060802 (19 February 2018); doi: 10.1117/12.2281690; https://doi.org/10.1117/12.2281690
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