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Real-time contour tracking in video surveillance suffers the problem of low speed and influence of shadows and noises. In this paper, a novel approach of video tracking is proposed, which employs a faster level-set-based method and a foreground extracting method free of noises. Compared with traditional level-set-based methods, our method avoids the high computational complexity of solving partial...
Cartoon-like stylization for video suffers the problems of low speed and unpleasant visual effect of edges in contiguous frames. In this paper, we present a novel approach of cartoon-like stylization for video which is fit for the high real-time requirement of some applications. In this approach, the edge detection algorithm bases on the Laplacian of Gaussian (LOG). It is faster and has better visual...
Background modeling is an important component of many computer vision systems. The numerous approaches to this problem differ in the statistical models used to describe the temporal behavior of single pixels. Without proper use of spatial coherence between pixel values, these models suffer greatly from memory consumption. In order to reduce spatial redundancy in the data, we propose a novel block-...
To-H.264 transcoding, due to its high practical values for a wide range of realtime video applications, has become an active research topic. However, most of the previous works do not address a very important new feature of H.264, multiple-reference-frame motion estimation. In this paper, employing forward domain vector selection (FDVS) and top-down splitting algorithms, a novel fast multiple-reference-frame...
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