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To achieve the goal of frontal vehicle detection in night-driving condition, we propose an effective method to detect the red taillights of vehicles. The challenge is that the taillight images captured with automatic exposure typically are overexposed, which makes red color segmentation often erroneous. Instead of customizing the camera hardware to tackle this problem, we combine morphological and...
We develop an accurate source model, one-sided -generalized Gaussian distribution (GGD), for approximating the residual signals in scalable wavelet video coding. An efficient piecewise linear expression is suggested to estimate the shape parameter of the one-sided -GGD. We also improve the model accuracy in matching the real data by modifying the parameter estimation formula. Continuing...
A rho-GGD source model is proposed in this paper. The probability distribution of wavelet coefficients has been previously modeled as Laplacian or generalized Gaussian distribution (GGD). The Laplacian model is simple in calculation but not accurate; on the other hand, GGD is accurate but requires a very complicated modeling procedure. In this paper, we introduce a new parameter rho into the GGD source...
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