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A NEW REAL-TIME FOREGROUND EXTRACTION METHOD USING CUBIC CODEBOOK AND GRAPH-CUT ALGORITHM

机译:一种新的使用立方码本和绘图算法的实时前景提取方法

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This paper presents a new real-time foreground extraction method for fixed camera. Most of existing methods cannot ensure reliable moving objects segmentation performance because they only consider temporal and local region information of pixels in a scene. To achieve more accuracy detection, we develop global spatio-temporal background subtraction method based on new cubic codebook and graph-cut algorithm. The cubic codebook is designed for efficient background modeling and fast image-graph construction. Also, graph-cut method is employed for optimal foreground segmentation as combining the spatial context of input frame and the modeled temporal context by our codebook. From computer simulation, we can achieve more accuracy than references.
机译:本文提出了一种新的固定相机实时前景提取方法。大多数现有方法无法确保可靠的移动对象分割性能,因为它们仅考虑场景中的像素的时间和局部区域信息。为了实现更准确的检测,我们开发了基于新型立方体码本和图形切割算法的全局时空背景减法方法。 CUBic Codebook专为有效的背景建模和快速图像图构造而设计。此外,图形切割方法用于最佳的前景分段,与我们的码本的输入帧的空间上下文和建模的时间上下文相结合。从计算机模拟到,我们可以实现比引用更准确。

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