Image sequences acquired from remote distance remote distance are easily influenced by atmospheric turbulence, and subject to random changes of intensity, twinkle of pixels and shifts of object positions. Traditional background modeling methods are not able to detect the object of interest correctly in the turbulent environment. In this paper, a decision-making approach with multiple hierarchies is proposed to model the effect of atmospheric turbulence. Gaussian and double Gaussian distributions are utilize...
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