Adaptive eLBP for Background Subtraction
LingFeng Wang; Huai-Yu Wu; Chunhong Pan
2010
会议名称The Asian Conference on Computer Vision (ACCV 2010)
会议录名称The Asian Conference on Computer Vision (ACCV 2010)
会议日期2010
会议地点Queenstown, New Zealand
摘要
Background subtraction plays an important role in many
computer vision systems, yet in complex scenes it is still a challenging
task, especially in case of illumination variations. In this work, we develop
an efficient texture-based method to tackle this problem. First,
we propose a novel adaptive εLBP operator, in which the threshold is
adaptively calculated by compromising two criterions, i.e. the description
stability and the discriminative ability. Then, the naive Bayesian technique
is adopted to effectively model the probability distribution of local
patterns in the pixel level, which utilizes only one single εLBP pattern
instead of εLBP histogram of local region. Our approach is evaluated
on several video sequences against the traditional methods. Experiments
show that our method is suitable for various scenes, especially can robust
handle illumination variations.
关键词Adaptive Elbp For Background Subtraction
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/12144
专题模式识别国家重点实验室_先进数据分析与学习
通讯作者Huai-Yu Wu
作者单位NLPR, CASIA
推荐引用方式
GB/T 7714
LingFeng Wang,Huai-Yu Wu,Chunhong Pan. Adaptive eLBP for Background Subtraction[C],2010.
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