Statistical Local Difference Pattern for Background Modeling

Abstract

Object detection is an important task for computer vision applications. Many researchers have proposed a number of methods to detect the objects through background modeling. To adapt to “illumination changes” in the background, local feature-based background models are proposed. They assume that local features are not affected by background changes. However… (More)
DOI: 10.2197/ipsjtcva.3.198

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