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In the existed background modeling methods, specified threshold parameters need to be given by user when the probability map is established in order to obtain the optimal segmentation results. In this paper, a new method is proposed, in which the feature intensity function of video adjacent relationship is calculated adaptively according to video features. It will avoid the drawbacks that video adjacent...
Focusing on segmentation error existed in video segmentation algorithms under the complicated and dynamic background, spatial-temporal feature is proposed and can be extracted through significant mapping. Video segmentation is modeled using hierarchical conditional random field. In this algorithm, temporal relative motion characteristics and spatial color characteristics are used to construct the...
Video segmentation is a hot issue in the image research field. In the current video segmentation method, the pixel color feature in a frame is only considered. The pertinent problem between adjacent pixels is not taken into account. This paper proposes a video segmentation method based on GMM (Gaussian Mixture Model) modeling, meanwhile a method integrating the neighborhood characteristic of a pixel,...
Video segmentation is a hot issue in the image research field. In the current video segmentation method, the pixel color feature in a frame is only considered. The pertinent problem between adjacent pixels is not taken into account. This paper proposes a video segmentation method based on GMM (Gaussian Mixture Model) modeling, meanwhile a method integrating the neighborhood characteristic of a pixel,...
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