WeSamBE: A Weight-Sample-Based Method for Background Subtraction.
IEEE Transactions on Circuits and Systems for Video Technology(2018)
摘要
Background subtraction techniques are often treated as fundamental and significant ways to analyze and understand video content. In this paper, we propose a weight-sample-based method for foreground detection. This method allows us to use a few samples with variable weights to achieve effective change detection. To rapidly adapt to changing scenarios, a minimum-weight update policy is first propos...
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关键词
Computational modeling,Adaptation models,Classification algorithms,Algorithm design and analysis,Resists,Correlation,Indexes
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